Steve Renals

发表

Cross-lingual adaptation with multi-task adaptive networks

Peter Bell, Joris Driesen, Steve Renals, 2014, INTERSPEECH.

INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association, Singapore, September 14-18, 2014

Fergus McInnes, Steve Renals, Siva Reddy Gangireddy, 2014, INTERSPEECH.

WSJCAMO: a British English speech corpus for large vocabulary continuous speech recognition

Steve Renals, Jonathan Foote, David Pye, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Improved average-voice-based speech synthesis using gender-mixed modeling and a parameter generation algorithm considering GV

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2007, SSW.

Proceedings of the Rich Transcription 2005 Spring Meeting Recognition Evaluation

Roeland Ordelman, Thomas Hain, Steve Renals, 2005 .

Regularized Subspace Gaussian Mixture Models for Speech Recognition

Liang Lu, Steve Renals, Arnab Ghoshal, 2011, IEEE Signal Processing Letters.

Are extractive text summarisation techniques portable to broadcast news?

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

An advanced integrated architecture for wireless voicemail data retrieval

Konstantinos Koumpis, Steve Renals, Charalampos V. Ladas, 2001, Proceedings 15th International Conference on Information Networking.

An HMM-based speech synthesiser using glottal post-filtering

Junichi Yamagishi, Steve Renals, Korin Richmond, 2010, SSW.

Large vocabulary continuous speech recognition using a hybrid connectionist-HMM system

Steve Renals, Anthony J. Robinson, Mike Hochberg, 1994, ICSLP.

Neural networks for distant speech recognition

Steve Renals, Pawel Swietojanski, 2014, 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA).

On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition

Liang Lu, Steve Renals, Xingxing Zhang, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automated production of true-cased punctuated subtitles for weather and news broadcasts

Joris Driesen, Steve Renals, Alexandra Birch, 2014, INTERSPEECH.

Lightly supervised automatic subtitling of weather forecasts

Joris Driesen, Steve Renals, S. Renals, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

A parallel training algorithm for hierarchical pitman-yor process language models

Steve Renals, Songfang Huang, 2009, INTERSPEECH.

Automatic Segmentation of Multiparty Dialogue

Johanna D. Moore, Steve Renals, Pei-yun Hsueh, 2006, EACL.

Regularized subspace Gaussian mixture models for cross-lingual speech recognition

Liang Lu, Steve Renals, Arnab Ghoshal, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Age recognition for spoken dialogue systems: do we need it?

Maria Klara Wolters, Steve Renals, Ravichander Vipperla, 2009, INTERSPEECH.

Evaluation of kernel methods for speaker verification and identification

Steve Renals, Vincent Wan, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Connectionist Optimisation of Tied Mixture Hidden Markov Models

Hervé Bourlard, Steve Renals, Horacio Franco, 1991, NIPS.

REINFORCEMENT LEARNING OF DIALOGUE STRATEGIES WITH HIERARCHICAL ABSTRACT MACHINES

Oliver Lemon, Heriberto Cuayáhuitl, Steve Renals, 2006, 2006 IEEE Spoken Language Technology Workshop.

Acoustic confidence measures for segmenting broadcast news

Jon Barker, Steve Renals, Gethin Williams, 1998, ICSLP.

Special issue on searching speech

Martha Larson, Wessel Kraaij, Franciska de Jong, 2012, TOIS.

Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN

Steve Renals, Alfred Dielmann, S. Renals, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Hybrid acoustic models for distant and multichannel large vocabulary speech recognition

Steve Renals, Arnab Ghoshal, Pawel Swietojanski, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Incorporating Speaker and Discourse Features into Speech Summarization

Johanna D. Moore, Jean Carletta, Steve Renals, 2006, NAACL.

Learning Temporal Dependencies in Connectionist Speech Recognition

Steve Renals, Anthony J. Robinson, Mike Hochberg, 1993, NIPS.

Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition

Liang Lu, Steve Renals, Arnab Ghoshal, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Dialogue act compression via pitch contour preservation

Steve Renals, Gabriel Murray, 2006, INTERSPEECH.

Efficient evaluation of the LVCSR search space using the NOWAY decoder

Steve Renals, Mike Hochberg, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models

Steve Renals, Pawel Swietojanski, S. Renals, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

Named entity tagged language models

Steve Renals, Yoshihiko Gotoh, Gethin Williams, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Using gamma filters to model temporal dependencies in speech

Steve Renals, Mike Hochberg, 1994, ICSLP.

Proc IEEE International Conference on Acoustics, Speech and Signal Processing

Peter Bell, Steve Renals, 2015 .

Detecting Action Items in Meetings

Steve Renals, Gabriel Murray, 2008, MLMI.

On the effect of snr and superdirective beamforming in speaker diarisation in meetings

Steve Renals, Mike Lincoln, Erich Zwyssig, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hierarchical dialogue optimization using semi-Markov decision processes

Oliver Lemon, Heriberto Cuayáhuitl, Steve Renals, 2007, INTERSPEECH.

Dimensionality reduction of electropalatographic data using latent variable models

Miguel Á. Carreira-Perpiñán, Steve Renals, M. A. Carreira-Perpiñán, 1998, Speech Commun..

Multitask Learning of Context-Dependent Targets in Deep Neural Network Acoustic Models

Peter Bell, Steve Renals, Pawel Swietojanski, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions

Dirk Heylen, Emer Gilmartin, Albert Ali Salah, 2015, Cognitive Computation.

Power law discounting for n-gram language models

Steve Renals, Songfang Huang, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Differentiable pooling for unsupervised speaker adaptation

Steve Renals, Pawel Swietojanski, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The UEDIN ASR Systems for the IWSLT 2014 Evaluation

Fergus McInnes, Peter Bell, Joris Driesen, 2014 .

Combining Spectral Representations for Large-Vocabulary Continuous Speech Recognition

Steve Renals, Giulia Garau, S. Renals, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Recognition and understanding of meetings the AMI and AMIDA projects

Thomas Hain, Hervé Bourlard, Steve Renals, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

SAT-LHUC: Speaker adaptive training for learning hidden unit contributions

Steve Renals, Pawel Swietojanski, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Dynamic Bayesian networks for meeting structuring

Steve Renals, Alfred Dielmann, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Proceedings of Interspeech 2013

Steve Renals, Liang Lu, Arnab Ghoshal, 2013, ISCA 2013.

The UEDIN systems for the IWSLT 2012 evaluation

Philipp Koehn, Peter Bell, Steve Renals, 2012, IWSLT.

A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the WERNICKE project

Yochai Konig, Marco Saerens, João Paulo da Silva Neto, 1993, EUROSPEECH.

Hierarchical Recurrent Neural Network for Story Segmentation

Emiru Tsunoo, Peter Bell, Steve Renals, 2017, INTERSPEECH.

Pitch adaptive features for LVCSR

Steve Renals, Giulia Garau, 2008, INTERSPEECH.

Machine Learning for Multimodal Interaction, Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers

Samy Bengio, Steve Renals, Mlmi, 2006, MLMI.

Automatic speech recognition using peripheral auditory modelling and a PDP approach to classification

Steve Renals, Mark Terry, 1987, ECST.

Synchronising audio and ultrasound by learning cross-modal embeddings

Steve Renals, Korin Richmond, Manuel Sam Ribeiro, 2019, INTERSPEECH.

Proceedings of the 6th International Conference on Spoken Language Processing

Konstantinos Koumpis, Steve Renals, 2000 .

User Generated Dialogue Systems: uDialogue

Yoshihiko Nankaku, Keiichi Tokuda, Junichi Yamagishi, 2017, Human-Harmonized Information Technology.

Noise adaptive training for subspace Gaussian mixture models

Liang Lu, Steve Renals, Arnab Ghoshal, 2013, INTERSPEECH.

Maximum entropy segmentation of broadcast news

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Proceedings of the Second Workshop on Arabic Natural Language Processing

Walid Magdy, Steve Renals, Ahmed Ali, 2015 .

Feed forward pre-training for recurrent neural network language models

Steve Renals, Fergus R. McInnes, Siva Reddy Gangireddy, 2014, INTERSPEECH.

Variable word rate N-grams

Steve Renals, Yoshihiko Gotoh, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Noise Compensation for Subspace Gaussian Mixture Models

Liang Lu, Steve Renals, K. K. Chin, 2012, INTERSPEECH.

The THISL system for indexing and retrieval of broadcast news

Steve Renals, Tony Robinson, David Kirby, 1999, 1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451).

Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation

Peter Bell, Steve Renals, Joanna Rownicka, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Deep Architectures for Articulatory Inversion

Steve Renals, Iain Murray, Benigno Uria, 2012, INTERSPEECH.

Start-synchronous search for large vocabulary continuous speech recognition

Steve Renals, Mike Hochberg, S. Renals, 1999, IEEE Trans. Speech Audio Process..

Multistream Recognition of Dialogue Acts in Meetings

Steve Renals, Alfred Dielmann, S. Renals, 2006, MLMI.

Speech Recognition Using Augmented Conditional Random Fields

Steve Renals, Yasser Hifny, S. Renals, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Incorporating lexical and prosodic information at different levels for meeting summarization

Steve Renals, Catherine Lai, 2014, INTERSPEECH.

Integrated transcription and identification of named entities in broadcast speech

Steve Renals, Yoshihiko Gotoh, 1999, EUROSPEECH.

Ultrax: An Animated Midsagittal Vocal Tract Display for Speech Therapy

Steve Renals, Korin Richmond, 2012, INTERSPEECH.

A lecture transcription system combining neural network acoustic and language models

Chiori Hori, Peter Bell, Steve Renals, 2013, INTERSPEECH.

Topic-based mixture language modelling

Steve Renals, Yoshihiko Gotoh, 1999, Nat. Lang. Eng..

Prosodically-enhanced recurrent neural network language models

Yoshihiko Nankaku, Steve Renals, Akinobu Lee, 2015, INTERSPEECH.

11th International Workshop on Spoken Language Translation (IWSLT 2014)

Fergus McInnes, Peter Bell, Joris Driesen, 2014 .

Evaluating Automatic Summaries of Meeting Recordings

Johanna D. Moore, Jean Carletta, Steve Renals, 2005, IEEvaluation@ACL.

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).

Hybrid Neural Network/Hidden Markov Model Systems for Continuous Speech Recognition

Hervé Bourlard, Steve Renals, Horacio Franco, 1993, Int. J. Pattern Recognit. Artif. Intell..

Hierarchical Pitman-Yor language models for ASR in meetings

Steve Renals, Songfang Huang, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Extrinsic Summarization Evaluation: A Decision Audit Task

Peter Poller, Steve Renals, Tilman Becker, 2008, MLMI.

A hybrid Maxent/HMM based ASR system

Neil D. Lawrence, Steve Renals, Yasser Hifny, 2005, INTERSPEECH.

Information extraction from broadcast news

Steve Renals, Yoshihiko Gotoh, S. Renals, 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

Proceedings of the 10th International Workshop on Spoken Language Translation (IWSLT 2013)

Peter Bell, Joris Driesen, Steve Renals, 2013 .

Automatic Meeting Segmentation Using Dynamic Bayesian Networks

Steve Renals, Alfred Dielmann, S. Renals, 2007, IEEE Transactions on Multimedia.

Evaluation of extractive voicemail summarization.

Konstantinos Koumpis, Steve Renals, 2003 .

The 1995 ABBOT LVCSR system for multiple unknown microphones

Steve Renals, Tony Robinson, Dan J. Kershaw, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Determining the number of speakers in a meeting using microphone array features

Steve Renals, Mike Lincoln, Erich Zwyssig, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving Children's Speech Recognition Through Out-of-Domain Data Augmentation

Peter Bell, Steve Renals, Mike Lincoln, 2016, INTERSPEECH.

Automatic summarization of voicemail messages using lexical and prosodic features

Konstantinos Koumpis, Steve Renals, S. Renals, 2005, TSLP.

Bayesian regularisation methods in a hybrid MLP-HMM system

Steve Renals, David MacKay, 1993, EUROSPEECH.

Punctuated transcription of multi-genre broadcasts using acoustic and lexical approaches

Peter Bell, Steve Renals, Ondrej Klejch, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

Multistream Dynamic Bayesian Network for Meeting Segmentation

Steve Renals, Alfred Dielmann, S. Renals, 2004, MLMI.

The Role of Prosody in a Voicemail Summarization System

Konstantinos Koumpis, Steve Renals, 2001 .

Proceedings of the Ninth Text REtrieval Conference

Steve Renals, Dave Abberley, S. Renals, 2001 .

Estimation of global posteriors and forward-backward training of hybrid HMM/ANN systems

Hervé Bourlard, Steve Renals, Jean Hennebert, 1997, EUROSPEECH.

Confidence measures derived from an acceptor HMM

Steve Renals, Gethin Williams, 1998, ICSLP.

Glottal Spectral Separation for Speech Synthesis

Junichi Yamagishi, Steve Renals, Korin Richmond, 2014, IEEE Journal of Selected Topics in Signal Processing.

Multi-Reference Evaluation for Dialectal Speech Recognition System: A Study for Egyptian ASR

Walid Magdy, Steve Renals, Ahmed M. Ali, 2015, ANLP@ACL.

Document space models using latent semantic analysis

Steve Renals, Yoshihiko Gotoh, 1997, EUROSPEECH.

DBN Based Joint Dialogue Act Recognition of Multiparty Meetings

Steve Renals, Alfred Dielmann, S. Renals, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Towards online speech summarization

Steve Renals, Gabriel Murray, 2007, INTERSPEECH.

A system for automatic alignment of broadcast media captions using weighted finite-state transducers

Peter Bell, Steve Renals, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing

Steve Renals, Pawel Swietojanski, S. Renals, 2015 .

Unsupervised language model adaptation based on topic and role information in multiparty meetings

Steve Renals, Songfang Huang, 2008, INTERSPEECH.

Ultrasound tongue imaging for diarization and alignment of child speech therapy sessions pdf

Steve Renals, Korin Richmond, Manuel Sam Ribeiro, 2019, INTERSPEECH.

From Text Summarisation to Style-Specific Summarisation for Broadcast News

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2004, ECIR.

Lattice-based lightly-supervised acoustic model training pdf

Peter Bell, Steve Renals, Joachim Fainberg, 2019, INTERSPEECH.

Windowed Attention Mechanisms for Speech Recognition

Peter Bell, Steve Renals, Shucong Zhang, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature-space speaker adaptation for probabilistic linear discriminant analysis acoustic models

Liang Lu, Steve Renals, 2015, INTERSPEECH.

Accessing information in spoken audio

Steve Renals, Tony Robinson, 2000, Speech Commun..

Multi-stream segmentation of meetings

Steve Renals, Alfred Dielmann, 2004, IEEE 6th Workshop on Multimedia Signal Processing, 2004..

ASR system modeling for automatic evaluation and optimization of dialogue systems

Olivier Pietquin, Steve Renals, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Confidence measures from local posterior probability estimates

Steve Renals, Gethin Williams, S. Renals, 1999, Comput. Speech Lang..

Multilingual training of deep neural networks

Steve Renals, Arnab Ghoshal, Pawel Swietojanski, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Feature selection for the classification of crosstalk in multi-channel audio

Guy J. Brown, Steve Renals, Stuart N. Wrigley, 2003, INTERSPEECH.

Chaos in Neural Networks

Steve Renals, S. Renals, 1990, EURASIP Workshop.

Text- and Speech-Triggered Information Access: Introduction

Gregory Grefenstette, Steve Renals, 2000, ELSNET Summer School.

Extrinsic summarization evaluation: A decision audit task

Peter Poller, Steve Renals, Tilman Becker, 2008, TSLP.

Regularization of context-dependent deep neural networks with context-independent multi-task training

Peter Bell, Steve Renals, S. Renals, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The 2005 AMI System for the Transcription of Speech in Meetings

Lukás Burget, Roeland Ordelman, Thomas Hain, 2005, MLMI.

Statistical annotation of named entities in spoken audio.

Steve Renals, Yoshihiko Gotoh, S. Renals, 1999 .

WERD: Using social text spelling variants for evaluating dialectal speech recognition

Preslav Nakov, Peter Bell, Steve Renals, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition

Liang Lu, Steve Renals, Arnab Ghoshal, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

HMM-based speech synthesiser using the LF-model of the glottal source

Junichi Yamagishi, Steve Renals, Korin Richmond, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-reference WER for evaluating ASR for languages with no orthographic rules

Walid Magdy, Peter Bell, Steve Renals, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Speech Input from Older Users in Smart Environments: Challenges and Perspectives

Kallirroi Georgila, Maria Klara Wolters, Steve Renals, 2009, HCI.

The THISL Spoken Document Retrieval System

Steve Renals, Anthony J. Robinson, Gary D. Cook, 1998, TREC.

IPA: improved phone modelling with recurrent neural networks

Steve Renals, Tony Robinson, Mike Hochberg, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Probabilistic linear discriminant analysis with bottleneck features for speech recognition

Liang Lu, Steve Renals, S. Renals, 2014, INTERSPEECH.

Glottal spectral separation for parametric speech synthesis

Junichi Yamagishi, Steve Renals, Korin Richmond, 2008, INTERSPEECH.

Image Analysis and Processing Workshops, 2007. ICIAPW 2007. 14th International Conference on

Jean Carletta, Steve Renals, Alejandro Jaimes, 2007 .

Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR

Steve Renals, Arnab Ghoshal, Pawel Swietojanski, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Using Prosodic Features in Language Models for Meetings

Steve Renals, Songfang Huang, S. Renals, 2007, MLMI.

Ageing Voices: The Effect of Changes in Voice Parameters on ASR Performance

Steve Renals, Ravichander Vipperla, Joe Frankel, 2010, EURASIP J. Audio Speech Music. Process..

Convolutional Neural Networks for Distant Speech Recognition

Steve Renals, Arnab Ghoshal, Pawel Swietojanski, 2014, IEEE Signal Processing Letters.

DECODER TECHNOLOGY FOR CONNECTIONIST LARGE VOCABULARY SPEECH RECOGNITION

Steve Renals, Mike Hochberg, S. Renals, 1995 .

Segmental Recurrent Neural Networks for End-to-End Speech Recognition

Liang Lu, Noah A. Smith, Chris Dyer, 2016, INTERSPEECH.

Augmentation of adaptation data

Steve Renals, Ravichander Vipperla, Joe Frankel, 2010, INTERSPEECH.

Sequence-to-sequence models for punctuated transcription combining lexical and acoustic features

Peter Bell, Steve Renals, Ondrej Klejch, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Proceedings of the ITRW on Prosody in Speech Recognition and Understanding

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2001 .

Recognition, indexing and retrieval of british broadcast news with the THISL system

Steve Renals, Tony Robinson, David Kirby, 1999, EUROSPEECH.

Longitudinal study of ASR performance on ageing voices

Steve Renals, Ravichander Vipperla, Joe Frankel, 2008, INTERSPEECH.

Hierarchical Bayesian Language Models for Conversational Speech Recognition

Steve Renals, Songfang Huang, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models pdf

Peter Bell, Steve Renals, Joachim Fainberg, 2019, ArXiv.

Cross-Lingual Subspace Gaussian Mixture Models for Low-Resource Speech Recognition

Liang Lu, Steve Renals, Arnab Ghoshal, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Term-Weighting for Summarization of Multi-party Spoken Dialogues

Steve Renals, Gabriel Murray, 2007, MLMI.

A study of speaker adaptation for DNN-based speech synthesis

Zhizheng Wu, Simon King, Christophe Veaux, 2015, INTERSPEECH.

Applying vocal tract length normalization to meeting recordings

Thomas Hain, Steve Renals, Giulia Garau, 2005, INTERSPEECH.

Meta Comments for Summarizing Meeting Speech

Steve Renals, Gabriel Murray, 2008, MLMI.

SVMSVM: support vector machine speaker verification methodology

Steve Renals, Vincent Wan, S. Renals, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Joint uncertainty decoding with unscented transform for noise robust subspace Gaussian mixture models

Liang Lu, Steve Renals, Arnab Ghoshal, 2012, SAPA@INTERSPEECH.

Probabilistic Linear Discriminant Analysis for Acoustic Modeling

Liang Lu, Steve Renals, 2014, IEEE Signal Processing Letters.

ROCKIT: Roadmap for Conversational Interaction Technologies

Jean Carletta, Dietrich Klakow, Hervé Bourlard, 2014, RFMIR '14.

Acoustic-Articulatory Modeling With the Trajectory HMM

Le Zhang, Steve Renals, S. Renals, 2008, IEEE Signal Processing Letters.

Multi-frame factorisation for long-span acoustic modelling

Liang Lu, Steve Renals, S. Renals, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The AMI System for the Transcription of Speech in Meetings

Lukás Burget, Roeland Ordelman, Thomas Hain, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Unsupervised Adaptation of Recurrent Neural Network Language Models

Peter Bell, Steve Renals, Siva Reddy Gangireddy, 2016, INTERSPEECH.

Recording speech articulation in dialogue: Evaluating a synchronized double electromagnetic articulography setup

Phil Hoole, Simon King, William J. Hardcastle, 2013, J. Phonetics.

Speaker verification using sequence discriminant support vector machines

Steve Renals, Vincent Wan, S. Renals, 2005, IEEE Transactions on Speech and Audio Processing.

Structured output layer with auxiliary targets for context-dependent acoustic modelling

Peter Bell, Steve Renals, Pawel Swietojanski, 2015, INTERSPEECH.

On the Usefulness of Statistical Normalisation of Bottleneck Features for Speech Recognition

Peter Bell, Steve Renals, Erfan Loweimi, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Revisiting hybrid and GMM-HMM system combination techniques

Steve Renals, Arnab Ghoshal, Pawel Swietojanski, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Confidence measures for hybrid HMM/ANN speech recognition

Steve Renals, Gethin Williams, S. Renals, 1997, EUROSPEECH.

Transcription and summarization of voicemail speech

Konstantinos Koumpis, Steve Renals, S. Renals, 2000, INTERSPEECH.

Transcription of conference room meetings: an investigation

Roeland Ordelman, Thomas Hain, Martin Karafiát, 2005, INTERSPEECH.

Neural net word representations for phrase-break prediction without a part of speech tagger

Oliver Watts, Simon King, Junichi Yamagishi, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Statistical Language Modelling

Steve Renals, Yoshihiko Gotoh, S. Renals, 2000, ELSNET Summer School.

Learning multi-goal dialogue strategies using reinforcement learning with reduced state-action spaces

Oliver Lemon, Heriberto Cuayáhuitl, Steve Renals, 2006, INTERSPEECH.

Proceedings of Interspeech 2014

Steve Renals, Catherine Lai, S. Renals, 2014 .

Evaluating speech synthesis intelligibility using Amazon Mechanical Turk

Maria Klara Wolters, Steve Renals, Karl Isaac, 2010, SSW.

Recognition of overlapping speech using digital MEMS microphone arrays

Friedrich Faubel, Steve Renals, Mike Lincoln, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project pdf

Guntis Barzdins, Didzis Gosko, Steve Renals, 2016, LREC.

Exploring the style-technique interaction in extractive summarization of broadcast news

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

The MGB-2 challenge: Arabic multi-dialect broadcast media recognition

James R. Glass, Yifan Zhang, Peter Bell, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

Speech and crosstalk detection in multichannel audio

Guy J. Brown, Steve Renals, Stuart N. Wrigley, 2005, IEEE Transactions on Speech and Audio Processing.

Analysis of a neural network model for speech recognition

Steve Renals, Jonathan Dalby, 1989, EUROSPEECH.

Extractive summarization of voicemail using lexical and prosodic feature subset selection

Konstantinos Koumpis, Steve Renals, Mahesan Niranjan, 2001, INTERSPEECH.

The UEDIN English ASR System for the IWSLT 2013 Evaluation

Fergus McInnes, Peter Bell, Steve Renals, 2013 .

The THISL spoken document retrieval project

Steve Renals, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Description of the UEDIN System for German ASR

Peter Bell, Joris Driesen, Steve Renals, 2013 .

Automatic Segmentation and Summarization of Meeting Speech

Johanna D. Moore, Jean Carletta, Steve Renals, 2007, HLT-NAACL.

A digital microphone array for distant speech recognition

Steve Renals, Mike Lincoln, Erich Zwyssig, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Towards an improved modeling of the glottal source in statistical parametric speech synthesis

Junichi Yamagishi, Steve Renals, Korin Richmond, 2007, SSW.

Proceedings of the Second international conference on Machine Learning for Multimodal Interaction

Steve Renals, Samy Bengio, 2005 .

Dynamic Evaluation of Transformer Language Models pdf

Steve Renals, Iain Murray, Ben Krause, 2019, ArXiv.

9th European Conference on Speech Communication and Technology (Interspeech 2005 - Eurospeech)

Jean Carletta, Jean Carletta, Steve Renals, 2005 .

Speech and neural network dynamics

Steve Renals, 1990 .

Efficient search using posterior phone probability estimates

Steve Renals, Mike Hochberg, S. Renals, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Evaluation of a hierarchical reinforcement learning spoken dialogue system

Oliver Lemon, Heriberto Cuayáhuitl, Steve Renals, 2010, Comput. Speech Lang..

Indexing and retrieval of broadcast news

Steve Renals, Tony Robinson, David Kirby, 2000, Speech Commun..

Connectionist probability estimators in HMM speech recognition

Hervé Bourlard, Steve Renals, Horacio Franco, 1994, IEEE Trans. Speech Audio Process..

Invited Talk: Recognition and Understanding of Meetings

Steve Renals, 2010, HLT-NAACL.

Punctuation annotation using statistical prosody models.

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2001 .

Audio information access from meeting rooms

Daniel P. W. Ellis, Steve Renals, S. Renals, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Complementary tasks for context-dependent deep neural network acoustic models

Peter Bell, Steve Renals, 2015, INTERSPEECH.

Detecting summarization hot spots in meetings using group level involvement and turn-taking features

Jean Carletta, Steve Renals, Catherine Lai, 2013, INTERSPEECH.

The Ambient Spotlight: personal multimodal search without query

Jean Carletta, Steve Renals, Jonathan Kilgour, 2010, ICMI-MLMI '10.

Modeling Topic and Role Information in Meetings Using the Hierarchical Dirichlet Process

Steve Renals, Songfang Huang, S. Renals, 2008, MLMI.

Phone recognition analysis for trajectory HMM

Le Zhang, Steve Renals, S. Renals, 2006, INTERSPEECH.

Recent improvements to the ABBOT large vocabulary CSR system

Steve Renals, Anthony J. Robinson, Gary D. Cook, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Speaker-adaptation for hybrid HMM-ANN continuous speech recognition system

Ciro Martins, João Paulo da Silva Neto, Luís B. Almeida, 1995, EUROSPEECH.

Multi-class extractive voicemail summarization

Konstantinos Koumpis, Steve Renals, 2003, INTERSPEECH.

Extractive summarization of meeting recordings

Jean Carletta, Steve Renals, Gabriel Murray, 2005, INTERSPEECH.

Small-Footprint Deep Neural Networks with Highway Connections for Speech Recognition pdf

Liang Lu, Steve Renals, S. Renals, 2015, INTERSPEECH.

A Cascaded Broadcast News Highlighter

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech pdf

Steve Renals, Sameer Khurana, Ahmed M. Ali, 2016, ArXiv.

Differentiable Pooling for Unsupervised Acoustic Model Adaptation

Steve Renals, Pawel Swietojanski, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Accessing the spoken word

Richard Wright, Douglas W. Oard, Franciska de Jong, 2005, International Journal on Digital Libraries.

Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models

Liang Lu, Steve Renals, K. K. Chin, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Speech Acoustic Modelling from Raw Phase Spectrum

Peter Bell, Steve Renals, Erfan Loweimi, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

European Language Grid: A Joint Platform for the European Language Technology Community

Kalina Bontcheva, Victoria Arranz, Khalid Choukri, 2021, EACL.

Speech Acoustic Modelling Using Raw Source and Filter Components

Peter Bell, Steve Renals, Erfan Loweimi, 2021, Interspeech 2021.

Automatic audiovisual synchronisation for ultrasound tongue imaging pdf

Steve Renals, Korin Richmond, Manuel Sam Ribeiro, 2021, Speech Commun..

Train Your Classifier First: Cascade Neural Networks Training from Upper Layers to Lower Layers

Peter Bell, Steve Renals, Erfan Loweimi, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stochastic Attention Head Removal: A Simple and Effective Method for Improving Transformer Based ASR Models

Peter Bell, Steve Renals, Erfan Loweimi, 2021, Interspeech.

Towards Robust Waveform-Based Acoustic Models pdf

Bin Yu, Steve Renals, Dino Oglic, 2021, ArXiv.

Silent versus modal multi-speaker speech recognition from ultrasound and video pdf

Steve Renals, Korin Richmond, Manuel Sam Ribeiro, 2021, Interspeech.

Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors

Steve Renals, Korin Richmond, Manuel Sam Ribeiro, 2021, Speech Commun..

An Edinburgh Speech Production Facility

Simon King, William J. Hardcastle, James M Scobbie, 2010 .

Proceedings of the 8th European Conference on Speech Communication and Technology

Roeland Ordelman, Thomas Hain, Steve Renals, 2003 .

Proceedings of the Human Language Technology Conference of the NAACL, Main Conference

Jean Carletta, Jean Carletta, Steve Renals, 2006 .

8th Annual Conference of the International Speech Communication Association

Steve Renals, Steve Renals, Gabriel Murray, 2007 .

INTERSPEECH 2010 11th Annual Conference of the International Speech Communication Association

Steve Renals, Ravichander Vipperla, Joe Frankel, 2010 .