S. Renals

发表

Explorer Dynamic Evaluation of Neural Sequence Models

Ben Krause, Emmanuel Kahembwe, Iain R. Murray, 2018 .

Speech Recognition Using Augmented Conditional Random Fields

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

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

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

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

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

Connectionist probability estimators in HMM speech recognition

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

The 2005 AMI System for the Transcription of Speech in Meetings

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

Connectionist Speech Recognition: Status and Prospects

H. Bourlard, N. Morgan, S. Renals, 1991 .

Phoneme classification experiments using radial basis functions

S. Renals, R. Rohwer, S. Renals, 1989, International 1989 Joint Conference on Neural Networks.

CDNN: a context dependent neural network for continuous speech recognition

Hervé Bourlard, Steve Renals, Nelson Morgan, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

THE USE OF RECURRENT NEURAL NETWORKS IN CONTINUOUS SPEECH RECOGNITION

Steve Renals, Tony Robinson, Mike Hochberg, 1996 .

Connectionist model combination for large vocabulary speech recognition

A. J. Robinson, S. Renals, M. Hochberg, 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

Connectionist probability estimation in the DECIPHER speech recognition system

Steve Renals, Horacio Franco, Nelson Morgan, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE

Cassia Valentini-Botinhao, Steve Renals, Benigno Uria, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speaker verification using sequence discriminant support vector machines

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

A study of network dynamics

S. Renals, R. Rohwer, 1990 .

Acoustic-Articulatory Modelling with the Trajectory HMM

S. Renals, Le Zhang, 2007 .

Convolutional Neural Networks for Distant Speech Recognition

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

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

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

Speech and crosstalk detection in multichannel audio

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

Confidence measures for hybrid HMM/ANN speech recognition

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

Multiplicative LSTM for sequence modelling pdf

Steve Renals, Liang Lu, Ben Krause, 2016, ICLR.

A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition

Steve Renals, Xingxing Zhang, Kyunghyun Cho, 2015, INTERSPEECH.

PROBABILITY ESTIMATION IN THE DECIPHER SPEECH RECOGNITION SYSTEM

N. Morgan, S. Renals, H. Franco, 1992 .

Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR

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

Connectionist speech recognition of Broadcast News

Daniel P. W. Ellis, Steve Renals, Eric Fosler-Lussier, 2002, Speech Commun..

Indexing and retrieval of broadcast news

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

Predicting tongue shapes from a few landmark locations

Miguel Á. Carreira-Perpiñán, Steve Renals, Alan Wrench, 2008, INTERSPEECH.

Speech synthesis technologies for individuals with vocal disabilities: Voice banking and reconstruction

S. King, S. Renals, J. Yamagishi, 2012 .

Cross-lingual adaptation with multi-task adaptive networks

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

An Overview of the SPRACH System for the Transcription of Broadcast News

Brian Kingsbury, Daniel P. W. Ellis, Steve Renals, 1999 .

The AMI System for the Transcription of Speech in Meetings

Lukás Burget, Roeland Ordelman, Thomas Hain, 2005, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Explorer Hierarchical recurrent neural network for story segmentation using fusion of lexical and acoustic features

S. Renals, P. Bell, E. Tsunoo, 2017 .

Windowed Attention Mechanisms for Speech Recognition WINDOWED ATTENTION MECHANISMS FOR SPEECH RECOGNITION

S. Renals, P. Bell, Erfan Loweimi, 2019 .

Transforming access to the spoken word

S. Renals, L. Lamel, D. Oard, 2004 .

Modelling Participant Affect in Meetings with Turn-Taking Features

S. Renals, J. Carletta, Catherine Lai, 2013 .

Explorer Simplifying very deep convolutional neural network architectures for robust speech recognition

S. Renals, P. Bell, Joanna Rownicka, 2017 .

Handbook of Phonetic Sciences

S. Renals, S. King, 2010 .

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

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

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

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

Spoken dialogue interfaces for older people

S. Renals, M. Wolters, Ravichander Vipperla, 2012 .

Speaker Verification Using Sequence Discriminant

S. Renals, V. Wan, 2005 .

C L ] 1 1 A ug 2 01 6 Automatic Dialect Detection in Arabic Broadcast Speech

James R. Glass, S. Renals, P. Bell, 2018 .

State of the art in Speech Recognition

S. Renals, 2017 .

Proceedings of the Rich Transcription 2005 Spring Meeting Recognition Evaluation

Roeland Ordelman, Thomas Hain, Steve Renals, 2005 .

Proceedings of the Ninth Text REtrieval Conference

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

Using Participant Role in Multiparty Meetings as Prior Knowledge for Nonparametric Topic Modeling

S. Renals, Songfang Huang, 2008 .

1 Content-based Access to Spoken Audio

S. Renals, K. Koumpis, 2005 .

An Edinburgh Speech Production Facility

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

The SPRACH/LaSIE system for named entity identification in broadcast news.

Steve Renals, Mark Stevenson, Yoshihiko Gotoh, 1999 .

Explorer The MGB-2 Challenge : Arabic Multi-Device Broadcast Media

James R. Glass, S. Renals, P. Bell, 2018 .

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

James R. Glass, S. Renals, P. Bell, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

Punctuation annotation using statistical prosody models.

S. Renals, H. Christensen, Y. Gotoh, 2001 .

Multimodal Signal Processing

Andrei Popescu-Belis, Steve Renals, Jean Carletta, 2012 .

Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization

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

Adaptation Algorithms for Speech Recognition: An Overview

S. Renals, Jinyu Li, P. Bell, 2020, ArXiv.

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

Peter Bell, Joris Driesen, Steve Renals, 2013 .

Introduction to the special issue on new approaches to statistical speech and text processing

Bill Byrne, Steve Renals, Mark Johnson, 2008 .

Towards Robust Waveform-Based Acoustic Models

Bin Yu, Z. Cvetković, S. Renals, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

THISL spoken document retrieval at TREC-7

Steve Renals, Tony Robinson, Dave Abberley, 1999 .

Manual and automatic labels for version 1.0 of UXTD, UXSSD, and UPX core data -- version 1.0

James M Scobbie, Steve Renals, Korin Richmond, 2018 .

OPT2015 Optimization for Machine Learning at the Neural Information Processing Systems Conference, 2015

Steve Renals, Ben Krause, Liang Lu, 2015 .

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

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

Proc. International Workshop on Spoken Language Translation

Philipp Koehn, Fergus McInnes, Barry Haddow, 2012 .

Edinburgh Research Explorer Variable word rate N-grams

S. Renals, Y. Gotoh, 2018 .

Edinburgh Research Explorer The THISL SDR System at TREC-8

S. Renals, T. Robinson, D. Ellis, 2022 .

Edinburgh Differentiable pooling for unsupervised speaker adaptation

S. Renals, P. Swietojanski, 2018 .

Tied Probabilistic Linear Discriminant Analysis for Speech Recognition

S. Renals, Liang Lu, 2014, ArXiv.

Proceedings of the 1999 DARPA Broadcast News Workshop

Brian Kingsbury, Daniel P. W. Ellis, Steve Renals, 1999 .

SLAM 2013 Speech, Language and Audio in Multimedia

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

Proceedings of the Analyzing Conversations in Text and Speech (ACTS), Proceedings of the Workshop

Maite Taboada, Steve Renals, Gabriel Murray, 2006, ACL 2006.

Voice banking and reconstruction 解説 — Speech synthesis technologies for individuals with vocal disabilities —

S. Renals, J. Yamagishi, C. Veaux, 2011 .

Prosodic features in spoken language identification

S. Renals, Anita Klementiev, Sam Suč́ık, 2019 .

Edinburgh Research Explorer A Deep 2D Convolutional Network for Waveform-Based Speech Recognition

Z. Cvetković, S. Renals, P. Bell, 2020 .

Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing

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

Investigating the contribution of speaker attributes to speaker separability using disentangled speaker representations

S. Renals, P. Bell, Chau Luu, 2022, INTERSPEECH.

Chaos in Neural Networks

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

Analysis of a simultaneous-speaker sound corpus

Guy J. Brown, Phil D. Green, Steve Renals, 1998 .

Multimodal Signal Processing: Conclusion and perspectives

Hervé Bourlard, Steve Renals, H. Bourlard, 2012 .

Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation

Steve Renals, Jinyu Li, Pawel Swietojanski, 2016, IEEE ACM Trans. Audio Speech Lang. Process..

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..

Interspeech 2006 - ICSLP

Oliver Lemon, Steve Renals, Heriberto Cuayáhuitl, 2006 .

Proceedings of the 9th European Conference on Speech Communication and Technology

Roeland Ordelman, Thomas Hain, Steve Renals, 2003 .

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).

Acoustic-Articulatory Modeling With the Trajectory HMM

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

Dimensionality reduction of electropalatographic data using latent variable models

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

Hierarchical dialogue optimization using semi-Markov decision processes

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

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.

Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions

Miguel Á. Carreira-Perpiñán, Steve Renals, M. A. Carreira-Perpiñán, 2000, Neural Computation.

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.

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.

Phone deactivation pruning in large vocabulary continuous speech recognition

S. Renals, S. Renals, 1996, IEEE Signal Processing Letters.

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.

Efficient search using posterior phone probability estimates

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

The 1994 Abbot hybrid connectionist-HMM large vocabulary recognition system.

Steve Renals, Tony Robinson, Mike Hochberg, 1995 .

Interpretation of Multiparty Meetings the AMI and Amida Projects

H. Bourlard, S. Renals, T. Hain, 2008, 2008 Hands-Free Speech Communication and Microphone Arrays.

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

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

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.

Start-synchronous search for large vocabulary continuous speech recognition

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

DECODER TECHNOLOGY FOR CONNECTIONIST LARGE VOCABULARY SPEECH RECOGNITION

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

End-to-End Neural Segmental Models for Speech Recognition

Hao Tang, Chris Dyer, Steve Renals, 2017, IEEE Journal of Selected Topics in Signal Processing.

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.

Accessing the spoken word

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

From Text Summarisation to Style-Specific Summarisation for Broadcast News

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

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).

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

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

Incorporating Speaker and Discourse Features into Speech Summarization

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

Extractive summarization of meeting recordings

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

Transcription of conference room meetings: an investigation

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

Evaluating speech synthesis intelligibility using Amazon Mechanical Turk

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

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

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

Retrieval of broadcast news documents with the THISL system

Steve Renals, Gary D. Cook, David C. Abberley, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Dynamic Evaluation of Transformer Language Models pdf

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

Dynamic Evaluation of Neural Sequence Models pdf

Steve Renals, Ben Krause, Emmanuel Kahembwe, 2017, ICML.

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).

Speaker Adaptive Training Using Model Agnostic Meta-Learning

Steve Renals, Peter Bell, Joachim Fainberg, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

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).

Multi-Scale Octave Convolutions for Robust Speech Recognition

Steve Renals, Peter Bell, Joanna Rownicka, 2019, ICASSP 2020 - 2020 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.

Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview

S. Renals, Jinyu Li, P. Bell, 2020, IEEE Open Journal of Signal Processing.

Multilingual training of deep neural networks

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

Speech recognition challenge in the wild: Arabic MGB-3

Stephan Vogel, Ahmed Ali, Steve Renals, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

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.

Automatic Dialect Detection in Arabic Broadcast Speech

James R. Glass, Patrick Cardinal, Steve Renals, 2015, INTERSPEECH.

Tal: A Synchronised Multi-Speaker Corpus of Ultrasound Tongue Imaging, Audio, and Lip Videos pdf

Steve Renals, Alan Wrench, Korin Richmond, 2020, 2021 IEEE Spoken Language Technology Workshop (SLT).

The MGB-5 Challenge: Recognition and Dialect Identification of Dialectal Arabic Speech

James Glass, James R. Glass, Ahmed Abdelali, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Embeddings for DNN Speaker Adaptive Training

Steve Renals, Peter Bell, Joanna Rownicka, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

8th Annual Conference of the International Speech Communication Association

Steve Renals, Steve Renals, Gabriel Murray, 2007 .

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

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

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.

Glottal Spectral Separation for Speech Synthesis

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

Glottal spectral separation for parametric speech synthesis

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

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

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

Unsupervised Adaptation of Recurrent Neural Network Language Models

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

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

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

Speaker-independent Classification of Phonetic Segments from Raw Ultrasound in Child Speech

Steve Renals, Korin Richmond, Manuel Sam Ribeiro, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Deep Neural Network for Acoustic-Articulatory Speech Inversion

Steve Renals, Benigno Uria, Korin Richmond, 2011 .

Proceedings of the ITRW on Prosody in Speech Recognition and Understanding

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2001 .

Factorised Representations for Neural Network Adaptation to Diverse Acoustic Environments

Steve Renals, Peter Bell, Joachim Fainberg, 2017, INTERSPEECH.

Automatic summarization of voicemail messages using lexical and prosodic features

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

The THISL Spoken Document Retrieval System

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

The THISL SDR System At TREC-8

Steve Renals, David C. Abberley, S. Renals, 1999, TREC.

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).

Evaluation of a hierarchical reinforcement learning spoken dialogue system

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

Channel Adversarial Training for Speaker Verification and Diarization

S. Renals, P. Bell, Chau Luu, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Probabilistic linear discriminant analysis with bottleneck features for speech recognition

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

Leveraging speaker attribute information using multi task learning for speaker verification and diarization

S. Renals, P. Bell, Chau Luu, 2020, Interspeech.

Neural nets and hidden Markov models: Review and generalizations

Hervé Bourlard, Steve Renals, Nelson Morgan, 1991, Speech Commun..

REINFORCEMENT LEARNING OF DIALOGUE STRATEGIES WITH HIERARCHICAL ABSTRACT MACHINES

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

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

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

Automatic audiovisual synchronisation for ultrasound tongue imaging pdf

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

Proceedings of Interspeech 2014

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

Phone recognition analysis for trajectory HMM

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

Using Prosodic Features in Language Models for Meetings

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

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).

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).

UltraSuite Repository - sample data

James M Scobbie, Alan A Wrench, Korin Richmond, 2019 .

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

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

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).

Combining Spectral Representations for Large-Vocabulary Continuous Speech Recognition

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

Machine Learning for Multimodal Interaction , 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Papers

Andrei Popescu-Belis, Hervé Bourlard, Steve Renals, 2008, MLMI.

Simplifying very deep convolutional neural network architectures for robust speech recognition

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

Multimodal Signal Processing

Jean Carletta, Andrei Popescu-Belis, Steve Renals, 2012 .

Learning Noise Invariant Features Through Transfer Learning For Robust End-to-End Speech Recognition

Steve Renals, Shucong Zhang, Cong-Thanh Do, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

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)..

Editorial: Expanding the Technical Reach of our Transactions

Mari Ostendorf, Marcello Federico, Steve Renals, 2014, TASLP.

Prosodic Correlates of Rhetorical Relations

Maite Taboada, Steve Renals, Gabriel Murray, 2006, HLT-NAACL 2006.

A study of speaker adaptation for DNN-based speech synthesis

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

ULTIPLICATIVE LSTM FOR SEQUENCE MODELLING

Iain R. Murray, S. Renals, B. Krause, 2017 .

Deep Architectures for Articulatory Inversion

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

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.

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.

Multistream Recognition of Dialogue Acts in Meetings

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

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.

Word Error Rate Estimation Without ASR Output: e-WER2 pdf

Steve Renals, Ahmed Ali, S. Renals, 2020, INTERSPEECH.

Word Error Rate Estimation for Speech Recognition: e-WER

Steve Renals, Ahmed Ali, S. Renals, 2018, ACL.

Confidence measures from local posterior probability estimates

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

Multi-Stream Acoustic Modelling Using Raw Real and Imaginary Parts of the Fourier Transform

Z. Cvetković, S. Renals, P. Bell, 2023, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters

Steve Renals, Peter Bell, Erfan Loweimi, 2019, INTERSPEECH.

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).

Lightly supervised automatic subtitling of weather forecasts

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

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

Steve Renals, Ravichander Vipperla, Joe Frankel, 2010 .

Hierarchical Recurrent Neural Network for Story Segmentation

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

Longitudinal study of ASR performance on ageing voices

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

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).

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).

Automatic Segmentation of Multiparty Dialogue

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

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

Jean Carletta, Jean Carletta, Steve Renals, 2006 .

Spoken Dialogue Management Using Hierarchical Reinforcement Learning and Dialogue Simulation

Oliver Lemon, Steve Renals, Heriberto Cuayáhuitl, 2005 .

Automatic Meeting Segmentation Using Dynamic Bayesian Networks

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

Distant Speech Recognition Experiments Using the AMI Corpus

Steve Renals, Pawel Swietojanski, S. Renals, 2017, New Era for Robust Speech Recognition, Exploiting Deep Learning.

On The Usefulness of Self-Attention for Automatic Speech Recognition with Transformers pdf

Shucong Zhang, Erfan Loweimi, Steve Renals, 2020, 2021 IEEE Spoken Language Technology Workshop (SLT).

Cross Lingual Transfer Learning for Zero-Resource Domain Adaptation

S. Renals, P. Bell, A. Abad, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hierarchical recurrent neural network for story segmentation using fusion of lexical and acoustic features

S. Renals, P. Bell, Ondrej Klejch, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Explorer Hierarchical recurrent neural network for story segmentation using fusion of lexical and acoustic features

S. Renals, P. Bell, E. Tsunoo, 2017 .

Synchronising audio and ultrasound by learning cross-modal embeddings

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

Processing and Linking Audio Events in Large Multimedia Archives: The EU inEvent Project

Andrei Popescu-Belis, Hervé Bourlard, Steve Renals, 2013, SLAM@INTERSPEECH.

Multistream Dynamic Bayesian Network for Meeting Segmentation

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

Automatic Meeting Segmentation Using

Steve Renals, Alfred Dielmann, S. Renals, 2007 .

Augmentation of adaptation data

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

Statistical annotation of named entities in spoken audio.

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

The ambient spotlight: queryless desktop search from meeting speech

Jean Carletta, Steve Renals, Jonathan Kilgour, 2010, SSCS '10.

Connectionist probability estimators in HMM speech recognition

H. Bourlard, N. Morgan, S. Renals, 1994, IEEE Trans. Speech Audio Process..

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

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

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)..

Evaluating Automatic Summaries of Meeting Recordings

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

Transcription and summarization of voicemail speech

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

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).

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..

A Cascaded Broadcast News Highlighter

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

Sentence Boundary Detection in Broadcast Speech Transcripts

Yoshihiko Gotoh, Steve Renals, S. Renals, 2000 .

Dropping Classes for Deep Speaker Representation Learning

Steve Renals, Peter Bell, Chau Luu, 2020, Odyssey.