Steve Renals

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

End-to-End Neural Segmental Models for Speech Recognition

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

The THISL broadcast news retrieval system.

Steve Renals, Tony Robinson, Dave Abberley, 1999 .

BASELINE IE-NE EXPERIMENTS USING THE SPRACH/LASIE SYSTEM

Mark Stevenson, Steve Renals, Yoshihiko Gotoh, 1999 .

Multiplicative LSTM for sequence modelling pdf

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

Automatic dialogue act recognition using a dynamic Bayesian network

Steve Renals, Alfred Dielmann, 2007 .

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).

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

Steve Renals, Dino Oglic, Zoran Cvetkovic, 2020, INTERSPEECH.

Distant Speech Recognition Experiments Using the AMI Corpus

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

Embeddings for DNN Speaker Adaptive Training

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

Neural networks for speech pattern classification

Steve Renals, Richard Rohwer, 1989 .

Multimodal Integration for Meeting Group Action Segmentation and Recognition

Steve Renals, Daniel Gatica-Perez, Gerhard Rigoll, 2005, MLMI.

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

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

A connectionist approach to speech recognition using peripheral auditory modelling

Jonathan Harrington, Steve Renals, Richard Rohwer, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

SLAM 2013 Speech, Language and Audio in Multimedia

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

SS.7 LEARNING PHONEME RECOGNITION USING NEURAL NETWORKS

Steve Renals, Richard Rohwer, 1989 .

Improving statistical speech recognition

Hervé Bourlard, Steve Renals, Nelson Morgan, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Cross Lingual Transfer Learning for Zero-Resource Domain Adaptation

Steve Renals, Peter Bell, Alberto Abad, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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).

Automatic Transcription of Multi-genre Media Archives

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

Connectionist speech recognition of Broadcast News

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

On the Robustness and Training Dynamics of Raw Waveform Models

Steve Renals, Erfan Loweimi, Peter Bell, 2020, INTERSPEECH.

Speaker Adaptive Training Using Model Agnostic Meta-Learning

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

THISL spoken document retrieval at TREC-7

Steve Renals, Tony Robinson, Dave Abberley, 1999 .

Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation

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

THE USE OF RECURRENT NEURAL NETWORKS IN CONTINUOUS SPEECH RECOGNITION

Steve Renals, Tony Robinson, Mike Hochberg, 1996 .

Multi-level adaptive networks in tandem and hybrid ASR systems

Steve Renals, Peter Bell, Pawel Swietojanski, 2013, ICASSP.

Knowledge distillation for small-footprint highway networks

Michelle Guo, Steve Renals, Liang Lu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

Automatic Dialect Detection in Arabic Broadcast Speech

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

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

Roeland Ordelman, Thomas Hain, Steve Renals, 2003 .

Predicting tongue shapes from a few landmark locations

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

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

Steve Renals, Mark Stevenson, Yoshihiko Gotoh, 1999 .

Spoken Dialogue Management Using Hierarchical Reinforcement Learning and Dialogue Simulation

Oliver Lemon, Steve Renals, Heriberto Cuayáhuitl, 2005 .

Deep Scattering Power Spectrum Features for Robust Speech Recognition

Steve Renals, Dino Oglic, Zoran Cvetkovic, 2020, INTERSPEECH.

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.

Acoustic space dimensionality selection and combination using the maximum entropy principle

Neil D. Lawrence, Steve Renals, Yasser H. Abdel-Haleem, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Trainable Dynamic Subsampling for End-to-End Speech Recognition

Steve Renals, Peter Bell, Shucong Zhang, 2019, INTERSPEECH.

On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters

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

Review: Using Speech Recognition

Steve Renals, 1996 .

Factorised Representations for Neural Network Adaptation to Diverse Acoustic Environments

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

Proceedings of the 4th international conference on Machine learning for multimodal interaction

Andrei Popescu-Belis, Steve Renals, Hervé Bourlard, 2007, ICML 2007.

DropClass and DropAdapt: Dropping classes for deep speaker representation learning pdf

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

Neural nets and hidden Markov models: Review and generalizations

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

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).

Analysis of a simultaneous-speaker sound corpus

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

Dropping Classes for Deep Speaker Representation Learning

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

Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions

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

Small-Footprint Highway Deep Neural Networks for Speech Recognition

Steve Renals, Liang Lu, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Untranscribed Web Audio for Low Resource Speech Recognition

Steve Renals, Peter Bell, Andrea Carmantini, 2019, INTERSPEECH.

Adaptation Algorithms for Speech Recognition: An Overview pdf

Steve Renals, Peter Bell, Jinyu Li, 2020, ArXiv.

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).

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 .

Raw Sign and Magnitude Spectra for Multi-Head Acoustic Modelling

Steve Renals, Erfan Loweimi, Peter Bell, 2020, INTERSPEECH.

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

Steve Renals, Ben Krause, Liang Lu, 2015 .

On the Efficiency of Recurrent Neural Network Optimization Algorithms

Steve Renals, Ben Krause, Liang Lu, 2015 .

Acoustic Model Adaptation from Raw Waveforms with Sincnet

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

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

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

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).

Interspeech 2006 - ICSLP

Oliver Lemon, Steve Renals, Heriberto Cuayáhuitl, 2006 .

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.

Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers

Petr Motlícek, Jean-Marc Odobez, Sébastien Marcel, 2006, MLMI.

A Deep Neural Network for Acoustic-Articulatory Speech Inversion

Steve Renals, Benigno Uria, Korin Richmond, 2011 .

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).

Probability estimation by feed-forward networks in continuous speech recognition

Hervé Bourlard, Steve Renals, Nelson Morgan, 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.