His work on Acoustics is typically connected to Statistical physics as part of general Dynamics (music) study, connecting several disciplines of science. He frequently studies issues relating to Dynamics (music) and Acoustics. He is involved in relevant fields of research such as Process (computing) and Byte in the realm of Operating system. He combines Process (computing) and Operating system in his research. His study in Telecommunications intersects with areas of studies such as Headset and Frame (networking). In his study, Steve Renals carries out multidisciplinary Frame (networking) and Telecommunications research. Steve Renals links relevant study fields such as Complementarity (molecular biology) and Sequence (biology) in the subject of Genetics. His Sequence (biology) study typically links adjacent topics like Genetics. His work on Geometry is being expanded to include thematically relevant topics such as Character (mathematics) and Word (group theory).
His research on Artificial neural network is centered around Time delay neural network and Recurrent neural network. In his study, he carries out multidisciplinary Artificial intelligence and Recurrent neural network research. In his research, he performs multidisciplinary study on Speech recognition and Time delay neural network. His Pattern recognition (psychology) study frequently links to other fields, such as Artificial intelligence. Steve Renals merges Natural language processing with Information retrieval in his research. He undertakes interdisciplinary study in the fields of Information retrieval and Natural language processing through his works. Linguistics and Feature (linguistics) are commonly linked in his work. His Feature (linguistics) study frequently involves adjacent topics like Linguistics. His Programming language study frequently draws connections between related disciplines such as Set (abstract data type).
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WSJCAMO: a British English speech corpus for large vocabulary continuous speech recognition
T. Robinson;J. Fransen;D. Pye;J. Foote.
international conference on acoustics, speech, and signal processing (1995)
Connectionist probability estimators in HMM speech recognition
S. Renals;N. Morgan;H. Bourlard;M. Cohen.
IEEE Transactions on Speech and Audio Processing (1994)
Speaker verification using sequence discriminant support vector machines
V. Wan;S. Renals.
IEEE Transactions on Speech and Audio Processing (2005)
Document space models using latent semantic analysis.
Yoshihiko Gotoh;Steve Renals.
conference of the international speech communication association (1997)
Extractive summarization of meeting recordings.
Gabriel Murray;Steve Renals;Jean Carletta.
conference of the international speech communication association (2005)
Convolutional Neural Networks for Distant Speech Recognition
Pawel Swietojanski;Arnab Ghoshal;Steve Renals.
IEEE Signal Processing Letters (2014)
Multilingual training of deep neural networks
Arnab Ghoshal;Pawel Swietojanski;Steve Renals.
international conference on acoustics, speech, and signal processing (2013)
Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models
Pawel Swietojanski;Steve Renals.
spoken language technology workshop (2014)
Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis
J. Yamagishi;T. Nose;H. Zen;Zhen-Hua Ling.
IEEE Transactions on Audio, Speech, and Language Processing (2009)
Speaker-Adaptation for Hybrid HMM-ANN Continuous Speech Recognition System
João Paulo Neto;Luís B. Almeida;Mike Hochberg;Ciro Martins.
conference of the international speech communication association (1995)
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