D-Index & Metrics Best Publications

Steve Renals

University of Edinburgh
United Kingdom

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 61 Citations 11,264 376 World Ranking 2000 National Ranking 115

Overview

What is he best known for?

The fields of study Steve Renals is best known for:

Speech recognition
Machine learning
Artificial neural network

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 most cited work include:

Convolutional Neural Networks for Distant Speech Recognition (207 citations)
The Use of Recurrent Neural Networks in Continuous Speech Recognition (77 citations)
A study of network dynamics (71 citations)

What are the main themes of his work throughout his whole career to date

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).

Steve Renals most often published in these fields:

Artificial intelligence (76.60%)
Speech recognition (65.96%)
Pattern recognition (psychology) (31.91%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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)

430 Citations

Connectionist probability estimators in HMM speech recognition

S. Renals;N. Morgan;H. Bourlard;M. Cohen.
IEEE Transactions on Speech and Audio Processing (1994)

370 Citations

Speaker verification using sequence discriminant support vector machines

V. Wan;S. Renals.
IEEE Transactions on Speech and Audio Processing (2005)

308 Citations

Document space models using latent semantic analysis.

Yoshihiko Gotoh;Steve Renals.
conference of the international speech communication association (1997)

284 Citations

Extractive summarization of meeting recordings.

Gabriel Murray;Steve Renals;Jean Carletta.
conference of the international speech communication association (2005)

280 Citations

Convolutional Neural Networks for Distant Speech Recognition

Pawel Swietojanski;Arnab Ghoshal;Steve Renals.
IEEE Signal Processing Letters (2014)

254 Citations

Multilingual training of deep neural networks

Arnab Ghoshal;Pawel Swietojanski;Steve Renals.
international conference on acoustics, speech, and signal processing (2013)

247 Citations

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

Pawel Swietojanski;Steve Renals.
spoken language technology workshop (2014)

242 Citations

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)

242 Citations

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)

232 Citations

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Steve Renals

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What is he best known for?

The fields of study Steve Renals is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Steve Renals most often published in these fields:

Best Publications

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