2026 Michael Picheny: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	67	2214	2147	1108	1067	251	16110

Research.com Recognitions

2001 - IEEE Fellow For contributions to speech recognition systems and products.

Overview

Michael Picheny is a researcher primarily affiliated with IBM in the United States. Their work spans the field of computer science with a strong focus on artificial intelligence and signal processing. They have contributed extensively to speech recognition, speech and audio processing, and related areas in machine learning.

The main fields of study in which Michael Picheny has published include:

Computer Science

Their subfields of study encompass:

Artificial Intelligence
Signal Processing
Computer Vision and Pattern Recognition
Experimental and Cognitive Psychology
Political Science and International Relations

Michael Picheny's research topics cover several key areas, such as:

Speech Recognition and Synthesis
Music and Audio Processing
Speech and Audio Processing
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Topic Modeling
Domain Adaptation and Few-Shot Learning

The scientist has collaborated frequently with several co-authors, including:

Samuel Thomas
Brian Kingsbury
Cal Peyser
Tara N. Sainath
Andrew Rouditchenko

Michael Picheny's publication record includes papers in a variety of academic venues. The most frequently appearing venues are:

arXiv (Cornell University)
IEEE Signal Processing Magazine
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Interspeech 2022

Selected recent publications by Michael Picheny include:

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies, 2020, IEEE Signal Processing Magazine
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings, 2021, arXiv (Cornell University)
Twenty-Five Years of Evolution in Speech and Language Processing, 2023, IEEE Signal Processing Magazine

Michael Picheny has been recognized with the IEEE Fellow award in 2001 for contributions to speech recognition systems and products.

Best Publications

Speaking Clearly for the Hard of Hearing II: Acoustic Characteristics of Clear and Conversational Speech.

Michael A. Picheny;Nathaniel I. Durlach;Louis D. Braida

931
Citations
Speaker adaptation of neural network acoustic models using i-vectors

George Saon;Hagen Soltau;David Nahamoo;Michael Picheny

727
Citations
Speaking clearly for the hard of hearing I: Intelligibility differences between clear and conversational speech.

Michael A. Picheny;Nathaniel I. Durlach;Louis D. Braida

699
Citations
Automatic indexing and aligning of audio and text using speech recognition

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

559
Citations
Deep Belief Networks using discriminative features for phone recognition

Abdel-rahman Mohamed;Tara N. Sainath;George Dahl;Bhuvana Ramabhadran

391
Citations
English Conversational Telephone Speech Recognition by Humans and Machines

George Saon;Gakuto Kurata;Tom Sercu;Kartik Audhkhasi

314
Citations
Constructing Markov model word baseforms from multiple utterances by concatenating model sequences for word segments

Lalit Rai Bahl;Peter Vincent Desouza;Robert Leroy Mercer;Michael Alan Picheny

304
Citations
Automatic determination of labels and markov word models in a speech recognition system

Peter F. Brown;Peter V. De Souza;David Nahomoo;Michael A. Picheny

302
Citations
Speech recognition apparatus having a speech coder outputting acoustic prototype ranks

Lalit R. Bahl;Peter Vincent De Souza;Ponani S. Gopalakrishnan;Michael Alan Picheny

286
Citations
Semantic language modeling and confidence measurement

Mark E. Epstein;Hakan Erdogan;Yuqing Gao;Michael A. Picheny

279
Citations
The metamorphic algorithm: a speaker mapping approach to data augmentation

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

275
Citations
Speech recognition using noise-adaptive prototypes

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

273
Citations
Speech recognizer having a speech coder for an acoustic match based on context-dependent speech-transition acoustic models

Lalit R. Bahl;Peter V. De Souza;Ponani S. Gopalakrishnan;Michael A. Picheny

264
Citations
Speech recognition using noise-adaptive prototypes

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

262
Citations
Multonic Markov word models for large vocabulary continuous speech recognition

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

255
Citations
Automatic generation of simple markov model stunted baseforms for words in a vocabulary

Lalit Rai Bahl;Peter Vincent Desouza;Robert Leroy Mercer;Michael Alan Picheny

250
Citations
Large vocabulary natural language continuous speech recognition

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

242
Citations
Acoustic Markov models used in the Tangora speech recognition system

L.R. Bahl;P.F. Brown;P.V. de Souza;M.A. Picheny

240
Citations
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

235
Citations
Feneme-based Markov models for words

Lalit R. Bahl;Peter V. deSouza;Robert L. Mercer;Michael A. Picheny

227
Citations
Method and apparatus for a communication device for use by a hearing impaired/mute or deaf person or in silent environments

Peter Thomas Brunet;Abraham P. Ittycheriah;Chandrasekhar Narayanaswami;Michael Alan Picheny

223
Citations

Frequent Co-Authors

Lalit R. Bahl Renaissance Technologies

David Nahamoo Pyron Inc.

Bhuvana Ramabhadran Google (United States)

George Saon IBM (United States)

Robert Leroy Mercer Renaissance Technologies

Brian Kingsbury IBM (United States)

Hakan Erdogan Google (United States)

Ruhi Sarikaya Amazon (United States)

Dimitri Kanevsky Google (United States)

Tara N. Sainath Google (United States)

External Links

Personal website of Michael Picheny Google Scholar page

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