World's Best Scientists 2026 revealed!
David Nahamoo

David Nahamoo

D-Index & Metrics

Computer Science

D-Index
54
Citations
9652
World Ranking
4642
National Ranking
2155

Research.com Recognitions

  • 2002 - IEEE Fellow For development of speech recognition algorithms and products

Overview

David Nahamoo is affiliated with Pyron Inc. in the United States. Their work has contributed to the development of speech recognition algorithms and products, which formed the basis for being named an IEEE Fellow in 2002.

Best Publications

  • Speaker adaptation of neural network acoustic models using i-vectors

    George Saon;Hagen Soltau;David Nahamoo;Michael Picheny

  • Automatic indexing and aligning of audio and text using speech recognition

    Hamed A. Ellozy;Dimitri Kanevsky;Michelle Y. Kim;David Nahamoo

  • Methods and apparatus for acoustic disambiguation

    Martin Labsky;Jan Kleindienst;Tomas Macek;David Nahamoo

  • An inequality for rational functions with applications to some statistical estimation problems

    P.S. Gopalakrishnan;D. Kanevsky;A. Nadas;D. Nahamoo

  • Tied mixture continuous parameter modeling for speech recognition

    J.R. Bellegarda;D. Nahamoo

  • The metamorphic algorithm: a speaker mapping approach to data augmentation

    J.R. Bellegarda;P.V. de Souza;A. Nadas;D. Nahamoo

  • Speech recognition using noise-adaptive prototypes

    A. Nadas;D. Nahamoo;M.A. Picheny

  • Speech recognition using noise-adaptive prototypes

    A. Nadas;D. Nahamoo;M.A. Picheny

  • Multonic Markov word models for large vocabulary continuous speech recognition

    L.R. Bahl;J.R. Bellegarda;P.V. de Souza;P.S. Gopalakrishnan

  • Large vocabulary natural language continuous speech recognition

    L.R. Bahl;R. Bakis;J. Bellegarda;P.F. Brown

  • Performance of the IBM large vocabulary continuous speech recognition system on the ARPA Wall Street Journal task

    L.R. Bahl;S. Balakrishnan-Aiyer;J.R. Bellgarda;M. Franz

  • Apparatus and method of grouping utterances of a phoneme into context-dependent categories based on sound-similarity for automatic speech recognition

    Lalit R. Bahl;Peter V. De Souza;Ponani S. Gopalakrishnan;David Nahamoo

  • Automatic handwriting recognition using both static and dynamic parameters

    Jerome Rene Bellegarda;David Nahamoo;Krishna Sundaram Nathan

  • Decision trees for phonological rules in continuous speech

    L.R. Bahl;P.V. deSouza;P.S. Gopalakrishnan;D. Nahamoo

  • Method and apparatus for improving the paper interface to computing systems

    Liam D. Comerford;Hamed A. Ellozy;Frederick Jelinek;Stephen E. Levy

  • Experiments using data augmentation for speaker adaptation

    J.R. Bellegarda;P.V. de Souza;D. Nahamoo;M. Padmanabhan

  • Experiments with the Tangora 20,000 word speech recognizer

    A. Averbuch;L. Bahl;R. Bakis;P. Brown

  • Robust methods for using context-dependent features and models in a continuous speech recognizer

    L.R. Bahl;P.V. de Souza;P.S. Gopalakrishnan;D. Nahamoo

  • Direct Acoustics-to-Word Models for English Conversational Speech Recognition

    Kartik Audhkhasi;Bhuvana Ramabhadran;George Saon;Michael Picheny

  • Speaker clustering and transformation for speaker adaptation in speech recognition systems

    M. Padmanabhan;L.R. Bahl;D. Nahamoo;M.A. Picheny

Frequent Co-Authors

Michael Picheny
Michael Picheny IBM (United States)
Lalit R. Bahl
Lalit R. Bahl Renaissance Technologies
Dimitri Kanevsky
Dimitri Kanevsky Google (United States)
Bhuvana Ramabhadran
Bhuvana Ramabhadran Google (United States)
Tara N. Sainath
Tara N. Sainath Google (United States)
Robert Leroy Mercer
Robert Leroy Mercer Renaissance Technologies
George Saon
George Saon IBM (United States)
Frederick Jelinek
Frederick Jelinek Johns Hopkins University
Brian Kingsbury
Brian Kingsbury IBM (United States)
Ruhi Sarikaya
Ruhi Sarikaya Amazon (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens up many flexible academic and career options. For those seeking a quick start, associates degrees online offer a fast, accessible route into tech and IT fields—often completed in as little as six months.

Broader interests may lead you toward business-technology roles. Earning a business degree online can prepare you for positions in project management, entrepreneurship, or IT consulting.

Budget-conscious students will find several universities offering some of the cheapest online colleges for bachelor’s degrees. These programs can lower your student debt and offer flexible study options, including for computer science majors.

For those interested in a more technical path, an online engineering degree can open doors to fields such as software engineering, cybersecurity, and data science.

No matter your career goals, there are many affordable and flexible online programs to help you advance in technology and related industries.

Best Scientists Citing David Nahamoo

Trending Scientists