D-Index & Metrics Best Publications

George Saon

IBM (United States)
United States

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 37 Citations 7,810 133 World Ranking 6687 National Ranking 3202

Overview

What is he best known for?

The fields of study George Saon is best known for:

Machine learning
Artificial intelligence
Natural language processing

His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Pattern recognition (psychology). His Pattern recognition (psychology) study frequently intersects with other fields, such as Artificial intelligence. He integrates Linguistics and Vocabulary in his research. George Saon undertakes multidisciplinary studies into Speech recognition and Speech processing in his work. He undertakes interdisciplinary study in the fields of Speech processing and Natural language processing through his research. With his scientific publications, his incorporates both Natural language processing and Speech recognition. His study ties his expertise on Meteorology together with the subject of Training (meteorology). His Meteorology study frequently draws parallels with other fields, such as Training (meteorology). As part of his studies on Feature (linguistics), George Saon often connects relevant subjects like Linguistics.

His most cited work include:

Deep Convolutional Neural Networks for Large-scale Speech Tasks (379 citations)
Boosted MMI for model and feature-space discriminative training (305 citations)
Advances in speech transcription at IBM under the DARPA EARS program (122 citations)

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

When carried out as part of a general Feature vector research project, his work on Artificial intelligence is frequently linked to work in Discriminative model and Pattern recognition (psychology), therefore connecting diverse disciplines of study. He regularly links together related areas like Pooling in his Artificial intelligence studies. He incorporates Discriminative model and Hidden Markov model in his studies. He performs multidisciplinary study in Hidden Markov model and Language model in his work. In his research, he performs multidisciplinary study on Language model and Acoustic model. Much of his study explores Speech recognition relationship to Utterance. In his works, George Saon undertakes multidisciplinary study on Linguistics and Phone. His study brings together the fields of Lexicon and Natural language processing. His research combines Natural language processing and Lexicon.

George Saon most often published in these fields:

Artificial intelligence (95.65%)
Speech recognition (91.30%)
Linguistics (73.91%)

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

Deep Convolutional Neural Networks for Large-scale Speech Tasks

Tara N. Sainath;Brian Kingsbury;George Saon;Hagen Soltau.
Neural Networks (2015)

1659 Citations

Speaker adaptation of neural network acoustic models using i-vectors

George Saon;Hagen Soltau;David Nahamoo;Michael Picheny.
ieee automatic speech recognition and understanding workshop (2013)

663 Citations

Boosted MMI for model and feature-space discriminative training

D. Povey;D. Kanevsky;B. Kingsbury;B. Ramabhadran.
international conference on acoustics, speech, and signal processing (2008)

469 Citations

fMPE: discriminatively trained features for speech recognition

D. Povey;B. Kingsbury;L. Mangu;G. Saon.
international conference on acoustics, speech, and signal processing (2005)

374 Citations

Maximum likelihood discriminant feature spaces

G. Saon;M. Padmanabhan;R. Gopinath;S. Chen.
international conference on acoustics, speech, and signal processing (2000)

293 Citations

English Conversational Telephone Speech Recognition by Humans and Machines

George Saon;Gakuto Kurata;Tom Sercu;Kartik Audhkhasi.
conference of the international speech communication association (2017)

272 Citations

Improvements to Deep Convolutional Neural Networks for LVCSR

Tara N. Sainath;Brian Kingsbury;Abdel-rahman Mohamed;George E. Dahl.
ieee automatic speech recognition and understanding workshop (2013)

231 Citations

The IBM 2016 English Conversational Telephone Speech Recognition System

George Saon;Tom Sercu;Steven J. Rennie;Hong-Kwang Jeff Kuo.
conference of the international speech communication association (2016)

225 Citations

The IBM Attila speech recognition toolkit

Hagen Soltau;George Saon;Brian Kingsbury.
spoken language technology workshop (2010)

168 Citations

Advances in speech transcription at IBM under the DARPA EARS program

S.F. Chen;B. Kingsbury;Lidia Mangu;D. Povey.
IEEE Transactions on Audio, Speech, and Language Processing (2006)

166 Citations

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Frequent Co-Authors

External Links

Personal Website for George Saon