Mark J. F. Gales

发表

Towards automatic assessment of spontaneous spoken English

Yu Wang, Mark J. F. Gales, Kate Knill, 2018, Speech Commun..

Log-Linear System Combination Using Structured Support Vector Machines

Mark J. F. Gales, Kate Knill, Jingzhou Yang, 2016, INTERSPEECH.

Speaker and noise factorisation on the AURORA4 task

Yongqiang Wang, Mark J. F. Gales, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Minimum mean squared error based warped complex cepstrum analysis for statistical parametric speech synthesis

Mark J. F. Gales, Ranniery Maia, Yannis Stylianou, 2013, INTERSPEECH.

Paraphrastic neural network language models

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-Resource Speech Recognition and Keyword-Spotting

Mark J. F. Gales, Kate Knill, Anton Ragni, 2017, SPECOM.

Using VTLN for broadcast news transcription

Mark J. F. Gales, Thomas Hain, Philip C. Woodland, 2004, INTERSPEECH.

Speaker and Noise Factorization for Robust Speech Recognition

Yongqiang Wang, Mark J. F. Gales, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Automatic Grammatical Error Detection of Non-native Spoken Learner English

Mark J. F. Gales, Kate Knill, Potsawee Manakul, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speaker diarisation and longitudinal linking in multi-genre broadcast data

Mark J. F. Gales, Chao Zhang, Linlin Wang, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Asymptotically exact noise-corrupted speech likelihoods

Mark J. F. Gales, Rogier C. van Dalen, M. Gales, 2010, INTERSPEECH.

Morph-to-word transduction for accurate and efficient automatic speech recognition and keyword search

Mark J. F. Gales, Kate Knill, Anton Ragni, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An explicit independence constraint for factorised adaptation in speech recognition

Mark J. F. Gales, Y.-Q. Wang, 2013, INTERSPEECH.

Spoken Language 'Grammatical Error Correction'

Mark J. F. Gales, Yu Wang, Yiting Lu, 2020, INTERSPEECH.

The HMM error model

Mark J. F. Gales, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Attention Forcing for Sequence-to-sequence Model Training pdf

Mark J. F. Gales, Qingyun Dou, Yiting Lu, 2019, ArXiv.

Tandem system adaptation using multiple linear feature transforms

Mark J. F. Gales, Y.-Q. Wang, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Unsupervised discriminative adaptation using discriminative mapping transforms

Mark J. F. Gales, Kai Yu, Philip C. Woodland, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Factor analysed hidden Markov models

Mark J. F. Gales, Antti-Veikko I. Rosti, M. Gales, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Complex cepstrum analysis based on the minimum mean squared error

Mark J. F. Gales, Ranniery Maia, Masami Akamine, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Factor analysis based VTS discriminative adaptive training

Mark J. F. Gales, Federico Flego, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Graphone Model Interpolation and Arabic Pronunciation Generation

Mark J. F. Gales, Philip C. Woodland, T. Li, 2011, INTERSPEECH.

Rao-Blackwellised Gibbs sampling for switching linear dynamical systems

Mark J. F. Gales, Antti-Veikko I. Rosti, M. Gales, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Gaussian Process Experts for Voice Conversion

Heiga Zen, Mark J. F. Gales, Nicholas Pilkington, 2011, INTERSPEECH.

Model-based approaches to adaptive training in reverberant environments

Yongqiang Wang, Mark J. F. Gales, 2012, INTERSPEECH.

Use of contexts in language model interpolation and adaptation

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2009, Comput. Speech Lang..

Speech Recognition System Combination for Machine Translation

Mark J. F. Gales, Spyridon Matsoukas, Jean-Luc Gauvain, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Training a parametric-based logF0 model with the minimum generation error criterion

Heiga Zen, Mark J. F. Gales, Javier Latorre, 2010, INTERSPEECH.

Corrections to "Automatic Transcription of Conversational Telephone Speech"

Mark J. F. Gales, Lan Wang, Daniel Povey, 2006, IEEE Trans. Speech Audio Process..

Multiple kernel learning for speaker verification

Mark J. F. Gales, Chris Longworth, M. Gales, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language Models

Yongqiang Wang, Mark J. F. Gales, Xunying Liu, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

SVMS, SCORE-SPACES AND MAXIMUM MARGIN STATISTICAL MODELS

Mark J. F. Gales, Martin Layton, M. Gales, 2004 .

Extending noise robust structured support vector machines to larger vocabulary tasks

Mark J. F. Gales, Shi-Xiong Zhang, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Speech intonation for TTS: study on evaluation methodology

Mark J. F. Gales, Vincent Wan, BalaKrishna Kolluru, 2014, INTERSPEECH.

Predictive linear transforms for noise robust speech recognition

Mark J. F. Gales, Rogier C. van Dalen, M. Gales, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Integrated speaker-adaptive speech synthesis

Mark J. F. Gales, Gilles Degottex, Moquan Wan, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Handbook of Natural Language Processing and Machine Translation

Kai Yu, Mark J. F. Gales, Philip C. Woodland, 2012 .

Constrained discriminative mapping transforms for unsupervised speaker adaptation

Mark J. F. Gales, K. K. Chin, Langzhou Chen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Infinite structured support vector machines for speech recognition

Mark J. F. Gales, Rogier C. van Dalen, Jingzhou Yang, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Integrated Online Speaker Clustering and Adaptation

Mark J. F. Gales, Kate Knill, K. K. Chin, 2011, INTERSPEECH.

Combining i-vector representation and structured neural networks for rapid adaptation

Mark J. F. Gales, Panagiota Karanasou, Chunyang Wu, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Universal Adversarial Attacks on Spoken Language Assessment Systems

Mark J. F. Gales, Kate Knill, Vyas Raina, 2020, INTERSPEECH.

Transcription of broadcast news with a time constraint: IBM's 10xRT HUB4 system

Benoît Maison, Mark J. F. Gales, Peder A. Olsen, 2000, INTERSPEECH.

Minimum Phone Error Training of

Mark J. F. Gales, Khe Chai Sim, M. Gales, 2006 .

Noise-robust TTS speaker adaptation with statistics smoothing

Mark J. F. Gales, Kayoko Yanagisawa, Langzhou Chen, 2014, INTERSPEECH.

MMI-MAP and MPE-MAP for acoustic model adaptation

Mark J. F. Gales, Daniel Povey, Philip C. Woodland, 2003, INTERSPEECH.

Improving Speech Transcription for Mandarin-English Translation

Mark J. F. Gales, Marcus Tomalin, Lan Wang, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Adaptive training with noisy constrained maximum likelihood linear regression for noise robust speech recognition

Mark J. F. Gales, D. K. Kim, 2009, INTERSPEECH.

Speaker Adaptation and Adaptive Training for Jointly Optimised Tandem Systems

Yu Wang, Mark J. F. Gales, Chao Zhang, 2018, INTERSPEECH.

A Log Domain Pulse Model for Parametric Speech Synthesis

Mark J. F. Gales, Pierre Lanchantin, Gilles Degottex, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

The efficient incorporation of MLP features into automatic speech recognition systems

Mark J. F. Gales, Marcus Tomalin, Philip C. Woodland, 2011, Comput. Speech Lang..

Structured SVMs for Automatic Speech Recognition

Mark J. F. Gales, Shi-Xiong Zhang, M. Gales, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Data augmentation for low resource languages

Mark J. F. Gales, Kate Knill, Anton Ragni, 2014, INTERSPEECH.

Word Boundary Modelling and Full Covariance Gaussians for Arabic Speech-to-Text Systems

Mark J. F. Gales, Marcus Tomalin, Xunying Liu, 2011, INTERSPEECH.

Decision tree-based context clustering based on cross validation and hierarchical priors

Heiga Zen, Mark J. F. Gales, H. Zen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Combining VTS model compensation and support vector machines

Mark J. F. Gales, Federico Flego, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Discriminative classifiers with adaptive kernels for noise robust speech recognition

Mark J. F. Gales, Federico Flego, 2010, Comput. Speech Lang..

tinuous Spee Recognition allel Model mbination

Mark J. F. Gales, Steve Young, 1996 .

Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch

Yongqiang Wang, Mark J. F. Gales, Xunying Liu, 2014, INTERSPEECH.

Directed decision trees for generating complementary systems

Mark J. F. Gales, Catherine Breslin, M. Gales, 2009, Speech Commun..

A Pulse Model in Log-domain for a Uniform Synthesizer

Mark J. F. Gales, Pierre Lanchantin, Gilles Degottex, 2016, SSW.

Exploring Rich Expressive Information from Audiobook Data Using Cluster Adaptive Training

Mark J. F. Gales, Masami Akamine, Vincent Wan, 2012, INTERSPEECH.

Abstractive Spoken Document Summarization Using Hierarchical Model with Multi-Stage Attention Diversity Optimization

Mark J. F. Gales, Potsawee Manakul, Linlin Wang, 2020, INTERSPEECH.

Use of Graphemic Lexicons for Spoken Language Assessment

Yu Wang, Mark J. F. Gales, Kate Knill, 2017, INTERSPEECH.

Stimulated training for automatic speech recognition and keyword search in limited resource conditions

Mark J. F. Gales, Kate Knill, Anton Ragni, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stimulated Deep Neural Network for Speech Recognition

Mark J. F. Gales, Khe Chai Sim, Panagiota Karanasou, 2016, INTERSPEECH.

Unsupervised Adaptation With Discriminative Mapping Transforms

Mark J. F. Gales, Kai Yu, Philip C. Woodland, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Language model combination and adaptation usingweighted finite state transducers

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Reconstructing voices within the multiple-average-voice-model framework

Simon King, Mark J. F. Gales, Junichi Yamagishi, 2015, INTERSPEECH.

Investigation of acoustic units for LVCSR systems

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Factor analysed hidden Markov models for speech recognition

Mark J. F. Gales, Antti-Veikko I. Rosti, M. Gales, 2004, Comput. Speech Lang..

Canonical state models for automatic speech recognition

Mark J. F. Gales, Kai Yu, 2010, INTERSPEECH.

Speaker dependent expression predictor from text: Expressiveness and transplantation

Mark J. F. Gales, Norbert Braunschweiler, Langzhou Chen, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Phonetic pronunciations for arabic speech-to-text systems

Mark J. F. Gales, Marcus Tomalin, Philip C. Woodland, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Disfluency Detection for Spoken Learner English

Mark J. F. Gales, Kate Knill, Yu Wang, 2019, SLaTE.

A variational perspective on noise-robust speech recognition

Mark J. F. Gales, Rogier C. van Dalen, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Importance sampling to compute likelihoods of noise-corrupted speech

Mark J. F. Gales, Rogier C. van Dalen, M. Gales, 2013, Comput. Speech Lang..

Extended VTS for Noise-Robust Speech Recognition

Mark J. F. Gales, Rogier C. van Dalen, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Improving reverberant VTS for hands-free robust speech recognition

Yongqiang Wang, Mark J. F. Gales, M. Gales, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Automatic complexity control for HLDA systems

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Multiple-average-voice-based speech synthesis

Simon King, Mark J. F. Gales, Junichi Yamagishi, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Activation Mixture Model for Speech Recognition

Mark J. F. Gales, Chunyang Wu, 2017, INTERSPEECH.

Impact of single-microphone dereverberation on DNN-based meeting transcription systems

Mark J. F. Gales, Takuya Yoshioka, Xie Chen, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The application of parallel model combination to a large vocabulary dictation task

Mark J. F. Gales, Steve J. Young, S. Young, 1995, EUROSPEECH.

Training Augmented Models Using SVMs

Mark J. F. Gales, Martin I. Layton, M. Gales, 2006, IEICE Trans. Inf. Syst..

A Deep Learning Approach to Assessing Non-native Pronunciation of English Using Phone Distances

Mark J. F. Gales, Kate Knill, Konstantinos Kyriakopoulos, 2018, INTERSPEECH.

Parallel model combination on a noise corrupted resource management task

Mark J. F. Gales, Steve J. Young, S. Young, 1994, ICSLP.

Improved DNN-based segmentation for multi-genre broadcast audio

Mark J. F. Gales, Chao Zhang, Linlin Wang, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust speech recognition in additive and convolutional noise using parallel model combination

Mark J. F. Gales, Steve J. Young, S. Young, 1995, Comput. Speech Lang..

Acoustic modelling for speech recognition: Hidden Markov models and beyond?

Mark J. F. Gales, 2009, ASRU.

Structured discriminative models using deep neural-network features

Mark J. F. Gales, Rogier C. van Dalen, Jingzhou Yang, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Speech recognition and keyword spotting for low-resource languages: Babel project research at CUED

Mark J. F. Gales, Kate Knill, Anton Ragni, 2014, SLTU.

Semi-tied covariance matrices for hidden Markov models

Mark J. F. Gales, M. Gales, 1999, IEEE Trans. Speech Audio Process..

Improving the interpretability of deep neural networks with stimulated learning

Mark J. F. Gales, Khe Chai Sim, Shawn Tan, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Speech factorization for HMM-TTS based on cluster adaptive training

Mark J. F. Gales, Kate Knill, Masami Akamine, 2012, INTERSPEECH.

Building HMM-TTS Voices on Diverse Data

Mark J. F. Gales, Masami Akamine, Norbert Braunschweiler, 2014, IEEE Journal of Selected Topics in Signal Processing.

CUED-RNNLM — An open-source toolkit for efficient training and evaluation of recurrent neural network language models

Mark J. F. Gales, X. Chen, Philip C. Woodland, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Transforming features to compensate speech recogniser models for noise

Mark J. F. Gales, Rogier C. van Dalen, Federico Flego, 2009, INTERSPEECH.

Iterative unsupervised adaptation using maximum likelihood linear regression

Mark J. F. Gales, Philip C. Woodland, David Pye, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Predictive Uncertainty Estimation via Prior Networks

Mark J. F. Gales, Andrey Malinin, M. Gales, 2018, NeurIPS.

Cluster adaptive training of average voice models

Mark J. F. Gales, Yannis Stylianou, Vincent Wan, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Discriminative language model adaptation for Mandarin broadcast speech transcription and translation

William J. Byrne, Mark J. F. Gales, Marcus Tomalin, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

A comparative study of methods for phonetic decision-tree state clustering

Mark J. F. Gales, Harriet J. Nock, Steve J. Young, 1997, EUROSPEECH.

Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems

Mark J. F. Gales, C. Zhang, L. Wang, 2016, INTERSPEECH.

Automatic transcription of conversational telephone speech

Mark J. F. Gales, Lan Wang, Daniel Povey, 2005, IEEE Transactions on Speech and Audio Processing.

Joint Uncertainty Decoding With Predictive Methods for Noise Robust Speech Recognition

Mark J. F. Gales, K. K. Chin, Haitian Xu, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Covariance modelling for noise-robust speech recognition

Mark J. F. Gales, Rogier C. van Dalen, 2008, INTERSPEECH.

Adaptation of deep neural network acoustic models using factorised i-vectors

Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland, 2014, INTERSPEECH.

I-vector estimation using informative priors for adaptation of deep neural networks

Mark J. F. Gales, Philip C. Woodland, Panagiota Karanasou, 2015, INTERSPEECH.

Use of Gaussian selection in large vocabulary continuous speech recognition using HMMS

Mark J. F. Gales, Kate Knill, Steve J. Young, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Photo-realistic expressive text to talking head synthesis

Mark J. F. Gales, Björn Stenger, Ranniery Maia, 2013, INTERSPEECH.

Automatic Characterisation of the Pronunciation of Non-native English Speakers using Phone Distance Features

Mark J. F. Gales, Kate Knill, Konstantinos Kyriakopoulos, 2017, SLaTE.

Rapid Nonlinear Speaker Adaptation for Large-Vocabulary Continuous Speech Recognition

Mark J. F. Gales, Anton Ragni, Zoi Roupakia, 2012, INTERSPEECH.

Unsupervised training and directed manual transcription for LVCSR

Mark J. F. Gales, Lan Wang, Kai Yu, 2010, Speech Commun..

Incorporating Uncertainty into Deep Learning for Spoken Language Assessment

Mark J. F. Gales, Kate Knill, Andrey Malinin, 2017, ACL.

Student-Teacher Training with Diverse Decision Tree Ensembles

Mark J. F. Gales, Jeremy Heng Meng Wong, M. Gales, 2017, INTERSPEECH.

Unsupervised Training for Mandarin Broadcast News and Conversation Transcription

Mark J. F. Gales, Lan Wang, Philip C. Woodland, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Robust continuous speech recognition using parallel model combination

Mark J. F. Gales, Steve J. Young, S. Young, 1996, IEEE Trans. Speech Audio Process..

Lightly supervised recognition for automatic alignment of large coherent speech recordings

Mark J. F. Gales, Sabine Buchholz, Norbert Braunschweiler, 2010, INTERSPEECH.

Multi-task ensembles with teacher-student training

Mark J. F. Gales, Jeremy Heng Meng Wong, M. Gales, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Annotating large lattices with the exact word error

Mark J. F. Gales, Rogier C. van Dalen, M. Gales, 2015, INTERSPEECH.

SLAM 2013 Speech, Language and Audio in Multimedia

Mark J. F. Gales, Yanhua Long, Thomas Hain, 2013 .

Incremental predictive and adaptive noise compensation

Mark J. F. Gales, Federico Flego, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Factored Semi-Tied Covariance Matrices

Mark J. F. Gales, M. Gales, 2000, NIPS.

Multi-basis adaptive neural network for rapid adaptation in speech recognition

Mark J. F. Gales, Chunyang Wu, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Paraphrastic recurrent neural network language models

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Predictive model-based compensation schemes for robust speech recognition

Mark J. F. Gales, 1998, Speech Commun..

Structured Support Vector Machines for Noise Robust Continuous Speech Recognition

Mark J. F. Gales, Shi-Xiong Zhang, M. Gales, 2011, INTERSPEECH.

Adaptation of precision matrix models on large vocabulary continuous speech recognition

Mark J. F. Gales, Khe Chai Sim, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Inference algorithms for generative score-spaces

Mark J. F. Gales, Anton Ragni, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint uncertainty decoding for noise robust speech recognition

Mark J. F. Gales, Hank Liao, M. Gales, 2005, INTERSPEECH.

Automatic Model Complexity Control Using Marginalized Discriminative Growth Functions

Mark J. F. Gales, Xunying Liu, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Development of the CU-HTK 2004 broadcast news transcription systems

Mark J. F. Gales, Ricky Ho Yin Chan, Khe Chai Sim, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Language independent and unsupervised acoustic models for speech recognition and keyword spotting

Mark J. F. Gales, Kate Knill, Anton Ragni, 2014, INTERSPEECH.

Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages

Mark J. F. Gales, Kate Knill, Anton Ragni, 2015, INTERSPEECH.

Progress in the CU-HTK broadcast news transcription system

Mark J. F. Gales, Ricky Ho Yin Chan, Philip C. Woodland, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Transcription of multi-genre media archives using out-of-domain data

Mark J. F. Gales, Yanhua Long, Pierre Lanchantin, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Maximum likelihood multiple subspace projections for hidden Markov models

Mark J. F. Gales, 2002, IEEE Trans. Speech Audio Process..

Surprise Languages: Rapid-Response Cross-Language IR

Rui Zhang, Mark J. F. Gales, Smaranda Muresan, 2019 .

Future word contexts in neural network language models

Yu Wang, Mark J. F. Gales, Anton Ragni, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Recurrent neural network language model training with noise contrastive estimation for speech recognition

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Statistical parametric speech synthesis based on product of experts

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Disfluency Detection for Spoken Learner English

Mark J. F. Gales, Kate Knill, Yu Wang, 2019, SLaTE.

Automatic Transcription of Multi-genre Media Archives

Mark J. F. Gales, Yanhua Long, Oscar Saz-Torralba, 2013, SLAM@INTERSPEECH.

Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks

Mark J. F. Gales, Yu Wang, Anton Ragni, 2018 .

Statistical Parametric Speech Synthesis Based on Speaker and Language Factorization

Heiga Zen, Sacha Krstulovic, Mark J. F. Gales, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Sequence Kernels for Speaker and Speech Recognition

Mark J. F. Gales, Federico Flego, Martin Layton, 2009 .

Complex cepstrum for statistical parametric speech synthesis

Mark J. F. Gales, Ranniery Maia, Masami Akamine, 2013, Speech Commun..

Recent improvements to the Cambridge Arabic Speech-to-Text systems

Mark J. F. Gales, Marcus Tomalin, Philip C. Woodland, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Language model cross adaptation for LVCSR system combination

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2013, Comput. Speech Lang..

Development of a phonetic system for large vocabulary Arabic speech recognition

Mark J. F. Gales, Marcus Tomalin, Kai Yu, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Training and adapting MLP features for Arabic speech recognition

Mark J. F. Gales, Marcus Tomalin, Philip C. Woodland, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Unsupervised training with directed manual transcription for recognising Mandarin broadcast audio

Mark J. F. Gales, Kai Yu, Philip C. Woodland, 2007, INTERSPEECH.

Discriminative semi-parametric trajectory model for speech recognition

Mark J. F. Gales, Khe Chai Sim, M. Gales, 2007, Comput. Speech Lang..

Data underpinning "I-Vector Estimation Using Informative Priors for Adaptation of Deep Neural Networks"

Mark J. F. Gales, Philip C. Woodland, Penny Karanasou, 2015 .

Improving multiple-crowd-sourced transcriptions using a speech recogniser

Mark J. F. Gales, Kate Knill, Rogier C. van Dalen, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving the training and evaluation efficiency of recurrent neural network language models

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Prior Networks for Detection of Adversarial Attacks pdf

Mark J. F. Gales, Andrey Malinin, M. Gales, 2018, ArXiv.

Adaptive training using discriminative mapping transforms

Mark J. F. Gales, Kai Yu, Chandra Kant Raut, 2008, INTERSPEECH.

Adaptive training for robust ASR

Mark J. F. Gales, 2001, IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01..

Paraphrastic language models

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2014, Comput. Speech Lang..

Fundamental Technologies in Modern Speech Recognition [From the Guest Editors]

Keiichi Tokuda, Hermann Ney, Mark J. F. Gales, 2012 .

Multi-Language Neural Network Language Models

Mark J. F. Gales, Kate Knill, Anton Ragni, 2016, INTERSPEECH.

Investigation of unsupervised adaptation of DNN acoustic models with filter bank input

Mark J. F. Gales, Takuya Yoshioka, Anton Ragni, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adaptive Training with Joint Uncertainty Decoding for Robust Recognition of Noisy Data

Mark J. F. Gales, Hank Liao, M. Gales, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Non-native Speaker Verification for Spoken Language Assessment pdf

Mark J. F. Gales, Yu Wang, Linlin Wang, 2019, ArXiv.

An improved approach to the hidden Markov model decomposition of speech and noise

Mark J. F. Gales, Steve Young, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Investigation of back-off based interpolation between recurrent neural network and n-gram language models

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Extended VTS for Noise-Robust Speech Recognition

Mark J. F. Gales, Rogier C. van Dalen, 2011, IEEE Trans. Speech Audio Process..

Bi-directional Lattice Recurrent Neural Networks for Confidence Estimation

Mark J. F. Gales, Anton Ragni, Qiujia Li, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Infinite support vector machines in speech recognition

Mark J. F. Gales, Rogier C. van Dalen, Jingzhou Yang, 2013, INTERSPEECH.

Issues with uncertainty decoding for noise robust automatic speech recognition

Mark J. F. Gales, Hank Liao, 2008, Speech Commun..

Model-Based Approaches to Handling Uncertainty

Mark J. F. Gales, M. Gales, 2011, Robust Speech Recognition of Uncertain or Missing Data.

Basis superposition precision matrix modelling for large vocabulary continuous speech recognition

Mark J. F. Gales, Khe Chai Sim, M. Gales, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Efficient lattice rescoring using recurrent neural network language models

Yongqiang Wang, Mark J. F. Gales, Xunying Liu, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Using SVMS and discriminative models for speech recognition

Mark J. F. Gales, N. D. Smith, M. Gales, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A Spectrally Weighted Mixture of Least Square Error and Wasserstein Discriminator Loss for Generative SPSS

Mark J. F. Gales, Gilles Degottex, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Improving lightly supervised training for broadcast transcription

Mark J. F. Gales, Yanhua Long, Pierre Lanchantin, 2013, INTERSPEECH.

Integrated Expression Prediction and Speech Synthesis From Text

Mark J. F. Gales, Kate Knill, Masami Akamine, 2014, IEEE Journal of Selected Topics in Signal Processing.

Improving LVCSR System Combination Using Neural Network Language Model Cross Adaptation

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2011, INTERSPEECH.

Improving environmental robustness in large vocabulary speech recognition

Mark J. F. Gales, Philip C. Woodland, David Pye, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Bayesian Adaptive Inference and Adaptive Training

Mark J. F. Gales, Kai Yu, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Incorporating a Generative Front-End Layer to Deep Neural Network for Noise Robust Automatic Speech Recognition

Mark J. F. Gales, Souvik Kundu, Khe Chai Sim, 2016, INTERSPEECH.

Ensemble Approaches for Uncertainty in Spoken Language Assessment

Mark J. F. Gales, Kate Knill, Xixin Wu, 2020, INTERSPEECH.

Recent improvements to IBM's speech recognition system for automatic transcription of broadcast news

Mark J. F. Gales, Peder A. Olsen, Ramesh A. Gopinath, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Mean and variance adaptation within the MLLR framework

Mark J. F. Gales, Philip C. Woodland, P. Woodland, 1996, Comput. Speech Lang..

Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English

Mark J. F. Gales, Kate Knill, Rogier C. van Dalen, 2016, SIGDIAL Conference.

Exploiting Chinese character models to improve speech recognition performance

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2009, INTERSPEECH.

Non-Native Children's Automatic Speech Recognition: The INTERSPEECH 2020 Shared Task ALTA Systems

Mark J. F. Gales, Kate Knill, Yu Wang, 2020, INTERSPEECH.

Discriminative adaptive training with VTS and JUD

Mark J. F. Gales, Federico Flego, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Paraphrastic language models and combination with neural network language models

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Context dependent language model adaptation

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2008, INTERSPEECH.

Unicode-based graphemic systems for limited resource languages

Mark J. F. Gales, Kate Knill, Anton Ragni, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic model complexity control using marginalized discriminative growth functions

Mark J. F. Gales, Xunying Liu, 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

A fast and flexible implementation of parallel model combination

Mark J. F. Gales, Steve J. Young, S. Young, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Minimum phone error training of precision matrix models

Mark J. F. Gales, Khe Chai Sim, M. Gales, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Waveform-Based Speaker Representations for Speech Synthesis

Mark J. F. Gales, Gilles Degottex, Moquan Wan, 2018, INTERSPEECH.

Consensus Network Decoding for Statistical Machine Translation System Combination

Hichem Sahbi, William J. Byrne, Mark J. F. Gales, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Factor analysis based VTS and JUD noise estimation and compensation

Mark J. F. Gales, Federico Flego, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Product of Gaussians as a distributed representation for speech recognition

Mark J. F. Gales, S. S. Airey, 2003, INTERSPEECH.

Multipulse Sequences for Residual Signal Modeling

Heiga Zen, Mark J. F. Gales, Kate Knill, 2011, INTERSPEECH.

Efficient decoding with generative score-spaces using the expectation semiring

Mark J. F. Gales, Rogier C. van Dalen, Anton Ragni, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Improved cross-task recognition using MMIE training

Mark J. F. Gales, Philip C. Woodland, R. Cordoba, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multiple-cluster adaptive training schemes

Mark J. F. Gales, M. Gales, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Improved Auto-Marking Confidence for Spoken Language Assessment

Mark J. F. Gales, Andrey Malinin, Marco Del Vecchio, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Structured discriminative models for noise robust continuous speech recognition

Mark J. F. Gales, Anton Ragni, M. Gales, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speaker and Expression Factorization for Audiobook Data: Expressiveness and Transplantation

Mark J. F. Gales, Norbert Braunschweiler, Langzhou Chen, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Continuous F0 in the source-excitation generation for HMM-based TTS: Do we need voiced/unvoiced classification?

Yamato Ohtani, Mark J. F. Gales, Kate Knill, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cluster adaptive training of hidden Markov models

Mark J. F. Gales, 2000, IEEE Trans. Speech Audio Process..

Improving joint uncertainty decoding performance by predictive methods for noise robust speech recognition

Mark J. F. Gales, K. K. Chin, Haitian Xu, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Semi-tied covariance matrices

Mark J. F. Gales, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Training a supra-segmental parametric F0 model without interpolating F0

Mark J. F. Gales, Kate Knill, Masami Akamine, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Variance compensation within the MLLR framework for robust speech recognition and speaker adaptation

Mark J. F. Gales, Philip C. Woodland, David Pye, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Active Memory Networks for Language Modeling

Mark J. F. Gales, Anton Ragni, Xie Chen, 2018, INTERSPEECH.

Statistical parametric speech synthesis with joint estimation of acoustic and excitation model parameters

Heiga Zen, Mark J. F. Gales, Ranniery Maia, 2010, SSW.

Product of Experts for Statistical Parametric Speech Synthesis

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Product of Gaussians for speech recognition

Mark J. F. Gales, S. S. Airey, M. Gales, 2006, Comput. Speech Lang..

Recurrent neural network language models for keyword search

Mark J. F. Gales, Kate Knill, Anton Ragni, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cepstral parameter compensation for HMM recognition in noise

Mark J. F. Gales, Steve J. Young, S. Young, 1993, Speech Commun..

Prior information for rapid speaker adaptation

Mark J. F. Gales, Kate Knill, K. K. Chin, 2010, INTERSPEECH.

Model complexity control and compression using discriminative growth functions

Mark J. F. Gales, Xunying Liu, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Derivative kernels for noise robust ASR

Mark J. F. Gales, Anton Ragni, M. Gales, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Combining Derivative and Parametric Kernels for Speaker Verification

Mark J. F. Gales, Chris Longworth, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Segmental hidden Markov models

Mark J. F. Gales, Steve J. Young, S. Young, 1993, EUROSPEECH.

Combining a Gaussian mixture model front end with MFCC parameters

Mark J. F. Gales, Matthew N. Stuttle, 2002, INTERSPEECH.

Training LVCSR systems on thousands of hours of data

Mark J. F. Gales, Kai Yu, Ricky Ho Yin Chan, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Maximum likelihood linear transformations for HMM-based speech recognition

Mark J. F. Gales, M. Gales, 1998, Comput. Speech Lang..

Discriminative cluster adaptive training

Mark J. F. Gales, Kai Yu, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Noisy Constrained Maximum-Likelihood Linear Regression for Noise-Robust Speech Recognition

Mark J. F. Gales, D. K. Kim, M. Gales, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Full-covariance model compensation for noise-robust speech recognition

Mark J. F. Gales, Rogier C. van Dalen, M. Gales, 2008 .

HMM recognition in noise using parallel model combination

Mark J. F. Gales, Steve J. Young, S. Young, 1993, EUROSPEECH.

Improving Lightly Supervised Training for Broadcast Transcriptions

Mark J. F. Gales, Yanhua Long, Pierre Lanchantin, 2013, ISCA 2013.

Learning Between Different Teacher and Student Models in ASR

Mark J. F. Gales, Yu Wang, Jeremy H. M. Wong, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

State-based Gaussian selection in large vocabulary continuous speech recognition using HMMs

Mark J. F. Gales, Kate Knill, Steve J. Young, 1999, IEEE Trans. Speech Audio Process..

System combination with log-linear models

Mark J. F. Gales, Anton Ragni, C. Zhang, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Variational dynamic kernels for speaker verification

Mark J. F. Gales, Rogier C. van Dalen, Chris Longworth, 2009, INTERSPEECH.

Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages

Mark J. F. Gales, Kate Knill, Anton Ragni, 2014, INTERSPEECH.

Recurrent neural network language model adaptation for multi-genre broadcast speech recognition

Mark J. F. Gales, Pierre Lanchantin, Xunying Liu, 2015, INTERSPEECH.

Automatic Speech Recognition System Development in the "Wild"

Mark J. F. Gales, Anton Ragni, M. Gales, 2018, INTERSPEECH.

The Application of Hidden Markov Models in Speech Recognition

Mark J. F. Gales, Steve J. Young, S. Young, 2007, Found. Trends Signal Process..

Recent Progress in Large Vocabulary Continuous Speech Recognition: An HTK Perspective

Mark J. F. Gales, Philip C. Woodland, P. Woodland, 2006 .

Generating multiple-accent pronunciations for TTS using joint sequence model interpolation

Mark J. F. Gales, Vincent Wan, BalaKrishna Kolluru, 2014, INTERSPEECH.

Integrated automatic expression prediction and speech synthesis from text

Mark J. F. Gales, Kate Knill, Masami Akamine, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Structured Log Linear Models for Noise Robust Speech Recognition

Mark J. F. Gales, Anton Ragni, Shi-Xiong Zhang, 2010, IEEE Signal Processing Letters.

A hierarchical attention based model for off-topic spontaneous spoken response detection

Mark J. F. Gales, Kate Knill, Andrey Malinin, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Robust excitation-based features for Automatic Speech Recognition

Mark J. F. Gales, Yannis Stylianou, Thomas Drugman, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Derivative and parametric kernels for speaker verification

Mark J. F. Gales, Chris Longworth, 2007, INTERSPEECH.

System combination and score normalization for spoken term detection

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Model-Based Approaches for Degraded Channel Modelling in Robust ASR

Mark J. F. Gales, Federico Flego, 2012, INTERSPEECH.

Acoustic Modelling Using Continuous Rational Kernels

Mark J. F. Gales, Martin I. Layton, M. Gales, 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing.

Kernel Eigenvoices (Revisited) for Large-Vocabulary Speech Recognition

Mark J. F. Gales, Zoi Roupakia, 2011, IEEE Signal Processing Letters.

Fundamental Technologies in Modern Speech Recognition

Keiichi Tokuda, Hermann Ney, Mark J. F. Gales, 2012 .

Improved neural network based language modelling and adaptation

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2010, INTERSPEECH.

Investigation of multilingual deep neural networks for spoken term detection

Mark J. F. Gales, Kate Knill, Chao Zhang, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Improving Interpretability and Regularization in Deep Learning

Mark J. F. Gales, Anton Ragni, Khe Chai Sim, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Temporally varying model parameters for large vocabulary continuous speech recognition

Mark J. F. Gales, Khe Chai Sim, M. Gales, 2005, INTERSPEECH.

Augmented Statistical Models: Using Dynamic Kernels for Acoustic Models

Mark J. F. Gales, M. Gales, 2009 .

Combining multiple high quality corpora for improving HMM-TTS

Heiga Zen, Mark J. F. Gales, Kate Knill, 2012, INTERSPEECH.

Morphological decomposition in Arabic ASR systems

Mark J. F. Gales, Marcus Tomalin, Philip C. Woodland, 2012, Comput. Speech Lang..

Off-topic Response Detection for Spontaneous Spoken English Assessment

Yu Wang, Mark J. F. Gales, Kate Knill, 2016, ACL.

A speech processing system

Mark J. F. Gales, Kate Knill, Langzhou Chen, 2012 .

Multilingual representations for low resource speech recognition and keyword search

Brian Kingsbury, Bhuvana Ramabhadran, Michael Picheny, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Support vector machines for noise robust ASR

Mark J. F. Gales, Anton Ragni, C. Gautier, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Augmented Statistical Models for Speech Recognition

Mark J. F. Gales, Martin I. Layton, M. Gales, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Cambridge university transcription systems for the multi-genre broadcast challenge

Mark J. F. Gales, Chao Zhang, Linlin Wang, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Cross-domain paraphrasing for improving language modelling using out-of-domain data

Mark J. F. Gales, Xunying Liu, Philip C. Woodland, 2013, INTERSPEECH.

Sequence Teacher-Student Training of Acoustic Models for Automatic Free Speaking Language Assessment

Mark J. F. Gales, Kate Knill, Anton Ragni, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Incremental Adaptation using Bayesian Inference

Mark J. F. Gales, Kai Yu, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Product of Gaussians and multiple stream systems

Mark J. F. Gales, S. S. Airey, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition

Yongqiang Wang, Mark J. F. Gales, Xunying Liu, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Incremental adaptation with VTS and joint adaptively trained systems

Mark J. F. Gales, Federico Flego, 2009, INTERSPEECH.

Broadcast news transcription using HTK

Mark J. F. Gales, Steve J. Young, Philip C. Woodland, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Porting: SwitchBoard to the VoiceMail task

Mark J. F. Gales, Yuan Dong, Daniel Povey, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Complementary System Generation using Directed Decision Trees

Mark J. F. Gales, Catherine Breslin, M. Gales, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

The development of the cambridge university alignment systems for the multi-genre broadcast challenge

Mark J. F. Gales, Chao Zhang, Linlin Wang, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Bayesian discriminative adaptation for speech recognition

Mark J. F. Gales, Chandra Kant Raut, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Generating Complementary Systems for Speech Recognition

Mark J. F. Gales, Catherine Breslin, M. Mukunoki, 2022 .

Attention Forcing for Speech Synthesis

Mark J. F. Gales, Joshua Efiong, Qingyun Dou, 2020, INTERSPEECH.

An attention based model for off-topic spontaneous spoken response detection: An Initial Study

Yu Wang, Mark J. F. Gales, Kate Knill, 2017, SLaTE.

Noise robustness in HMM-TTS speaker adaptation

Simon King, Mark J. F. Gales, Vincent Wan, 2013, SSW.

The Cambridge University March 2005 speaker diarisation system

Mark J. F. Gales, Philip C. Woodland, Rohit Sinha, 2005, INTERSPEECH.

CU-HTK April 2002 Switchboard System

Mark J. F. Gales, Thomas Hain, Gunnar Evermann, 2002 .

Structured discriminative models for speech recognition

Mark J. F. Gales, Rogier C. van Dalen, Anton Ragni, 2012, MLSLP.

Transformation streams and the HMM error model

Mark J. F. Gales, 2002, Comput. Speech Lang..

Investigation of acoustic modeling techniques for LVCSR systems

Mark J. F. Gales, Xunying Liu, Khe Chai Sim, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

A generalised derivative kernel for speaker verification

Mark J. F. Gales, Chris Longworth, 2008, INTERSPEECH.

An initial investigation of long-term adaptation for meeting transcription

Mark J. F. Gales, Kate Knill, K. K. Chin, 2014, INTERSPEECH.

Discriminative map for acoustic model adaptation

Mark J. F. Gales, Daniel Povey, Philip C. Woodland, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Improving speech recognition and keyword search for low resource languages using web data

Mark J. F. Gales, Kate Knill, Julia Hirschberg, 2015, INTERSPEECH.

Impact of ASR Performance on Free Speaking Language Assessment

Yu Wang, Mark J. F. Gales, Kate Knill, 2018, INTERSPEECH.

Rapid joint speaker and noise compensation for robust speech recognition

Mark J. F. Gales, Kate Knill, K. K. Chin, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks

Mark J. F. Gales, Anton Ragni, Qiujia Li, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

A confidence-based approach for improving keyword hypothesis scores

Mark J. F. Gales, Philip C. Woodland, Matthew Stephen Seigel, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

The Cambridge University 2014 BOLT conversational telephone Mandarin Chinese LVCSR system for speech translation

Mark J. F. Gales, C. Zhang, Linlin Wang, 2015, INTERSPEECH.

Sequence Student-Teacher Training of Deep Neural Networks

Mark J. F. Gales, Jeremy Heng Meng Wong, M. Gales, 2016, INTERSPEECH.

Exploiting Future Word Contexts in Neural Network Language Models for Speech Recognition

Mark J. F. Gales, Yu Wang, Anton Ragni, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Investigating Bidirectional Recurrent Neural Network Language Models for Speech Recognition

Mark J. F. Gales, Anton Ragni, X. Chen, 2017, INTERSPEECH.

Development of the CUHTK 2004 Mandarin conversational telephone speech transcription system

Mark J. F. Gales, Xunying Liu, Khe Chai Sim, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Morphological analysis and decomposition for Arabic speech-to-text systems

Mark J. F. Gales, Marcus Tomalin, Philip C. Woodland, 2009, INTERSPEECH.

A language space representation for speech recognition

Mark J. F. Gales, Kate Knill, Anton Ragni, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speech Recognition using SVMs

Mark J. F. Gales, N. Smith, M. Gales, 2001, NIPS.

Discriminative adaptation for speaker verification

Mark J. F. Gales, Chris Longworth, M. Gales, 2006, INTERSPEECH.

Data underpining "System Combination with Log-linear Models"

Mark J. F. Gales, Anton Ragni, Philip C. Woodland, 2016 .

Development of the 2003 CU-HTK conversational telephone speech transcription system

Mark J. F. Gales, Lan Wang, Thomas Hain, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Hierarchical RNNs for Waveform-Level Speech Synthesis

Mark J. F. Gales, Zhiyi Ma, Gilles Degottex, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Building multiple complementary systems using directed decision trees

Mark J. F. Gales, Catherine Breslin, 2007, INTERSPEECH.

The MGB challenge: Evaluating multi-genre broadcast media recognition

Mark J. F. Gales, Oscar Saz-Torralba, Thomas Hain, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Tail distribution modelling using the richter and power exponential distributions

Mark J. F. Gales, Peder A. Olsen, 1999, EUROSPEECH.

Issues with uncertainty decoding for noise robust speech recognition

Mark J. F. Gales, Hank Liao, 2006, INTERSPEECH.

I-Vectors and Structured Neural Networks for Rapid Adaptation of Acoustic Models

Mark J. F. Gales, Philip C. Woodland, Panagiota Karanasou, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

PHONETIC AND GRAPHEMIC SYSTEMS FOR MULTI-GENRE BROADCAST TRANSCRIPTION

Yu Wang, Mark J. F. Gales, Anton Ragni, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Acoustic factorisation

Mark J. F. Gales, 2001, IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01..

A high-performance Cantonese keyword search system

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Kernelized log linear models for continuous speech recognition

Mark J. F. Gales, Shi-Xiong Zhang, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automatic Detection of Accent and Lexical Pronunciation Errors in Spontaneous Non-Native English Speech

Mark J. F. Gales, Kate Knill, Konstantinos Kyriakopoulos, 2020, INTERSPEECH.

An adaptive speech recognition system and method using a cascade of transforms

Mark J. F. Gales, Kate Knill, K. K. Chin, 2010 .

Unsupervised clustering of emotion and voice styles for expressive TTS

Mark J. F. Gales, Kate Knill, Florian Eyben, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Cu-Htk Mandarin Broadcast News Transcription System

Mark J. F. Gales, Xunying Liu, Khe Chai Sim, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Automatic transcription of Broadcast News

Mark J. F. Gales, Peder A. Olsen, Ramesh A. Gopinath, 2002, Speech Commun..

Model-based techniques for noise robust speech recognition

Mark J. F. Gales, M. Gales, 1995 .

Transformation smoothing for speaker and environmental adaptation

Mark J. F. Gales, 1997, EUROSPEECH.

Cluster adaptive training for speech recognition

Mark J. F. Gales, 1998, ICSLP.

Complex cepstrum as phase information in statistical parametric speech synthesis

Mark J. F. Gales, Ranniery Maia, Masami Akamine, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A mixture of Gaussians front end for speech recognition

Mark J. F. Gales, Matthew N. Stuttle, 2001, INTERSPEECH.

Efficient generation and use of MLP features for Arabic speech recognition

Mark J. F. Gales, Marcus Tomalin, Philip C. Woodland, 2009, INTERSPEECH.

Automatically grading learners' English using a Gaussian process

Mark J. F. Gales, Kate Knill, Rogier C. van Dalen, 2015, SLaTE.

Supplementary data for "Speaker Diarisation and Linking in Multi-Genre Broadcast Data"

Mark J. F. Gales, Chao Zhang, Pierre Lanchantin, 2015 .

Adaptive training using structured transforms

Mark J. F. Gales, Kai Yu, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Discriminative classifiers with generative kernels for noise robust ASR

Mark J. F. Gales, Chris Longworth, 2008, INTERSPEECH.

Attention Forcing for Machine Translation pdf

Mark J. F. Gales, Potsawee Manakul, Yiting Lu, 2021, ArXiv.

Analysing Bias in Spoken Language Assessment Using Concept Activation Vectors

Mark J. F. Gales, Kate Knill, Xizi Wei, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Uncertainty Estimation in Autoregressive Structured Prediction

Mark J. F. Gales, Andrey Malinin, M. Gales, 2021, ICLR.

Efficient Use of End-to-End Data in Spoken Language Processing

Mark J. F. Gales, Yu Wang, Yiting Lu, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks pdf

Mark J. F. Gales, Andrey Malinin, Alexey Noskov, 2021, ArXiv.

Long-Span Summarization via Local Attention and Content Selection

Mark J. F. Gales, Potsawee Manakul, M. Gales, 2021, ACL.

Long-Span Dependencies in Transformer-based Summarization Systems pdf

Mark J. F. Gales, Potsawee Manakul, M. Gales, 2021, ArXiv.

Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems

Mark J. F. Gales, Potsawee Manakul, M. Gales, 2021, EMNLP.

DEVELOPING KEYWORD SEARCH UNDER THE IARPA BABEL PROGRAM

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013 .

Recent developments at Cambridge in broadcast news transcription

Mark J. F. Gales, Khe Chai Sim, Gunnar Evermann, 2004 .

PMC for speech recognition in additive and convolutional noise

Mark J. F. Gales, Steve Young, Mark J. F. Gales, 1993 .

The theory of segmental hidden Markov models

Mark J. F. Gales, Steve Young, Mark J. F. Gales, 1993 .