Mike Seltzer

1.5k citations
17 papers · 329 · h-index 7

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Blind Source Separation Techniques
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

    • Speech Recognition and Synthesis 15
    • Natural Language Processing Techniques 7
    • Topic Modeling 3
    • Speech and dialogue systems 1
    • Speech and Audio Processing 7
    • Music and Audio Processing 6
Journals
Neural Information Processing Systems (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)

In The Last Decade

Mike Seltzer

14 papers receiving 267 citations

Peers

Mike Seltzer
Comparison fields: 5 of 42
  • Signal Processing 202
  • Artificial Intelligence 275
  • Computational Mathematics 2
  • Computer Vision and Pattern Recognition 49
  • Health Informatics 3
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Citations per field
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Citations per year

Countries citing papers authored by Mike Seltzer

Since Specialization
Citations

This map shows the geographic impact of Mike Seltzer'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 Mike Seltzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Seltzer more than expected).

Fields of papers citing papers by Mike Seltzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Seltzer. 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 Mike Seltzer. The network helps show where Mike Seltzer may publish in the future.

Co-authors

The 25 scholars most cited alongside Mike Seltzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mike Seltzer Line = papers co-authored together Mike Seltzer links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2014112
2 202190
3 202449
4 200921
5 202211
6 202410
7 20218
8 20146
9 20236
10
Robust speech recognition using cepstral minimum-mean-square-error noise suppressor
20085
11
Stochastic Gradient Descent Algorithm in the Computational Network Toolkit
20134
12
Detection of Corrupted Speech Features for Robust Speech Recognition
20004
13 20252
14 20241
15 20250
16 20240
17 20230

About Mike Seltzer

Mike Seltzer is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 17 papers that have together received 329 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (7 papers), Speech and Audio Processing (7 papers), Music and Audio Processing (6 papers), Topic Modeling (3 papers), Parallel Computing and Optimization Techniques (1 paper), Advanced Data Compression Techniques (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Signal Processing (202 citations), Artificial Intelligence (275 citations), Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (49 citations) and Health Informatics (3 citations). Mike Seltzer has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Dong Yu, Jinyu Li, Yifan Gong, Jian Xue, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Ching-Feng Yeh and Duc Le. Their work appears in journals such as Neural Information Processing Systems and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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