Michael Picheny

6.5k total citations · 3 hit papers
142 papers, 4.0k citations indexed

About

Michael Picheny is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Picheny has authored 142 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Artificial Intelligence, 88 papers in Signal Processing and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Picheny's work include Speech Recognition and Synthesis (103 papers), Speech and Audio Processing (69 papers) and Music and Audio Processing (58 papers). Michael Picheny is often cited by papers focused on Speech Recognition and Synthesis (103 papers), Speech and Audio Processing (69 papers) and Music and Audio Processing (58 papers). Michael Picheny collaborates with scholars based in United States, Germany and United Kingdom. Michael Picheny's co-authors include N. I. Durlach, Louis D. Braida, D. Nahamoo, George Saon, Bhuvana Ramabhadran, Hagen Soltau, Arthur Nádas, L.R. Bahl, Yuqing Gao and Tara N. Sainath and has published in prestigious journals such as The Journal of the Acoustical Society of America, Computer and IEEE Signal Processing Magazine.

In The Last Decade

Michael Picheny

137 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Speaking Clearly for the Hard of Hearing II

1986 516 citations Michael Picheny, Louis D. Braida et al. profile →
Speaker adaptation of neural network acoustic models using i-vectors

2013 406 citations D. Nahamoo, Michael Picheny et al. profile →
Deep Belief Networks using discriminative features for phone recognition

2011 196 citations Tara N. Sainath, Bhuvana Ramabhadran et al. profile →

Peers

Countries citing papers authored by Michael Picheny

Since Specialization

Citations

This map shows the geographic impact of Michael Picheny's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Picheny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Picheny more than expected).

Fields of papers citing papers by Michael Picheny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Picheny. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Picheny. The network helps show where Michael Picheny may publish in the future.

Co-authorship network of co-authors of Michael Picheny

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Picheny. A scholar is included among the top collaborators of Michael Picheny based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Picheny. Michael Picheny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale 2023 ·(unknown), Michael Picheny, (unknown), Rohit Prabhavalkar, Wei Huang, Tara N. Sainath	0
2	Improving Joint Speech-Text Representations Without Alignment 2023 ·(unknown), Zhong Meng, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho, Ke Hu	1
3	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Brian Chen, Andrew Rouditchenko, (unknown), Hilde Kuehne, Samuel Thomas, (unknown), Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James Glass, Michael Picheny, Shih-Fu Chang	46
4	Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs 2021 ·(unknown), (unknown), (unknown), (unknown), Michael Picheny, Hong-Kwang Jeff Kuo, Samuel Thomas, (unknown)	6
5	Grounding Spoken Words in Unlabeled Video 2019 ·Computer Vision and Pattern Recognition ·(unknown), Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Feris, (unknown), Yang Zhang, Antonio Torralba, Michael Picheny, James Glass	9
6	Identifying Mood Episodes Using Dialogue Features from Clinical Interviews 2019 ·(unknown), (unknown), Michael Picheny, Melvin G. McInnis, Emily Mower Provost	11
7	Articulatory feature detection with Support Vector Machines for integration into ASR and phone recognition 2009 ·Upendra V. Chaudhari, Michael Picheny	5
8	The IBM Submission to the 2006 Blizzard Text-to-Speech Challenge 2006 ·Ellen Eide, Raul Castro Fernandez, Ron Hoory, Wael Hamza, Zvi Kons, Michael Picheny, (unknown), Slava Shechtman, (unknown)	3
9	A corpus-based approach to expressive speech synthesis. 2004 ·SSW ·Ellen Eide, (unknown), R. Bakis, Wael Hamza, Michael Picheny, John F. Pitrelli	49
10	A hand-held speech-to-speech translation system 2004 ·Bowen Zhou, Yuqing Gao, Jeffrey Sorensen, (unknown), Michael Picheny	13
11	Noise robustness in speech to speech translation 2003 ·Fuhua Liu, Yuqing Gao, Liang Gu, Michael Picheny	12
12	Statistical Natural Language Generation for Speech-to-Speech Machine Translation 2002 ·Conference of the International Speech Communication Association ·Bowen Zhou, Yuqing Gao, Jeffrey Sorensen, (unknown), Michael Picheny	13
13	Cross-Language Access to Recorded Speech in the MALACH Project 2002 ·Douglas W. Oard, Dina Demner‐Fushman, (unknown), (unknown), Bill Byrne, Dagobert Soergel, Bonnie J. Dorr, Philip Resnik, Michael Picheny	1
14	Semantic structured language models 2002 ·Hakan Erdoğan, Ruhi Sarikaya, Yuqing Gao, Michael Picheny	14
15	Speaker clustering and transformation for speaker adaptation in large-vocabulary speech recognition systems 2002 ·M. Padmanabhan, L.R. Bahl, D. Nahamoo, Michael Picheny	13
16	Current status of the IBM Trainable Speech Synthesis System. 2001 ·SSW ·(unknown), Abraham Ittycheriah, Martin Franz, Bhuvana Ramabhadran, Ellen Eide, Mahesh Viswanathan, R. Bakis, Wael Hamza, Michael Picheny, Philip Gleason, (unknown), P. T. Cox, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	20
17	Speaker adaptation based on pre-clustering training speakers 1997 ·Yuqing Gao, M. Padmanabhan, Michael Picheny	24
18	Robust speaker adaptation using a piecewise linear acoustic mapping 1992 ·J.R. Bellegarda, P.V. de Souza, Arthur Nádas, D. Nahamoo, Michael Picheny, L.R. Bahl	14
19	A fast match for continuous speech recognition using allophonic models 1992 ·L.R. Bahl, P.V. de Souza, P.S. Gopalakrishnan, D. Nahamoo, Michael Picheny	16
20	Use of articulatory signals in automatic speech recognition 1986 ·The Journal of the Acoustical Society of America ·Louis D. Braida, Michael Picheny, Jordan Cohen, W. M. Rabinowitz, Joseph S. Perkell	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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