Anton Ragni

发表

Log-Linear System Combination Using Structured Support Vector Machines

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

Low-Resource Speech Recognition and Keyword-Spotting

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

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).

Data augmentation for low resource languages

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

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.

Rapid Nonlinear Speaker Adaptation for Large-Vocabulary Continuous Speech Recognition

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

Incorporating Uncertainty into Deep Learning for Spoken Language Assessment

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

Inference algorithms for generative score-spaces

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

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.

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).

Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks

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

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).

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).

Initial Experiments with Estonian Speech Recognition

Anton Ragni, 2007, NODALIDA.

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).

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.

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).

Active Memory Networks for Language Modeling

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

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).

Derivative kernels for noise robust ASR

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

Experiments with Cross-Language Speech Retrieval for Lower-Resource Languages

Douglas W. Oard, Anton Ragni, Petra Galuscáková, 2019, AIRS.

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).

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.

Automatic Speech Recognition System Development in the "Wild"

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

Structured Log Linear Models for Noise Robust Speech Recognition

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

Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks

Anton Ragni, Mark Gales, Alexandros Kastanos, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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.

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.

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).

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

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

Structured discriminative models for speech recognition

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

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.

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).

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.

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).

Data underpining "System Combination with Log-linear Models"

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

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).

Approximate Fixed-Points in Recurrent Neural Networks pdf

Anton Ragni, Zhengxiong Wang, A. Ragni, 2021, ArXiv.

Continuous representations of intents for dialogue systems pdf

Anton Ragni, Sindre Andr'e Jacobsen, A. Ragni, 2021, ArXiv.