Frank Seide
- Signal Processing top 0.2%
- Speech and Audio Processing 37
- Music and Audio Processing 35
- Artificial Intelligence top 0.2%
- Speech Recognition and Synthesis 65
- Natural Language Processing Techniques 33
- Speech and dialogue systems 22
- Topic Modeling 16
- Neural Networks and Applications 3
- Computational Mathematics top 5%
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- Advanced Data Compression Techniques 5
- Hardware and Architecture top 10%
Frank Seide
88 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Signal Processing 2.1k
- Artificial Intelligence 3.5k
- Computational Mathematics 27
- Computer Vision and Pattern Recognition 765
- Hardware and Architecture 76
Countries citing papers authored by Frank Seide
This map shows the geographic impact of Frank Seide'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 Frank Seide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Seide more than expected).
Fields of papers citing papers by Frank Seide
This network shows the impact of papers produced by Frank Seide. 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 Frank Seide. The network helps show where Frank Seide may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank Seide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 10 | |
| 4 | Achieving Human Parity in Conversational Speech Recognition using CNTK and a GPU Farm | 2018 | 1 |
| 5 | 2017 | 146 | |
| 6 | 2015 | 28 | |
| 7 | 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNsbreakdown → | 2014 | 439 |
| 8 | An introduction to computational networks and the computational network toolkit (invited talk). | 2014 | 3 |
| 9 | Recent advances in deep learning for speech research at Microsoftbreakdown → | 2013 | 510 |
| 10 | Conversational speech transcription using context-dependent deep neural networks | 2012 | 94 |
| 11 | Conversational speech transcription using context-dependent deep neural networksbreakdown → | 2011 | 599 |
| 12 | Vocabulary and Language Model Adaptation Using just One File | 2010 | 2 |
| 13 | 2010 | 8 | |
| 14 | 2006 | 38 | |
| 15 | DynaLine: A Non-Disruptive TV User Interface for Passive Browsing of Internet Video | 2006 | 2 |
| 16 | 2004 | 55 | |
| 17 | 2003 | 16 | |
| 18 | 2002 | 47 | |
| 19 | 1998 | 15 | |
| 20 | 1997 | 19 |
About Frank Seide
Frank Seide is a scholar working on Signal Processing, Computational Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 95 papers that have together received 4.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (65 papers), Speech and Audio Processing (37 papers), Music and Audio Processing (35 papers), Natural Language Processing Techniques (33 papers), Speech and dialogue systems (22 papers), Topic Modeling (16 papers), Advanced Data Compression Techniques (5 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Signal Processing (2.1k citations), Artificial Intelligence (3.5k citations), Computational Mathematics (27 citations), Computer Vision and Pattern Recognition (765 citations) and Hardware and Architecture (76 citations). Frank Seide has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dong Yu, Gang Li, Chen Xie, Kaisheng Yao, Li Deng, Amit Agarwal, Jasha Droppo, Hao Fu, Hang Su and Peng Yu. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, Speech Communication, IEEE Transactions on Audio Speech and Language Processing, Proceedings of the IEEE and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.