Arun Narayanan
Impact in
- Signal Processing top 0.2%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech and Audio Processing 43
- Music and Audio Processing 27
- Blind Source Separation Techniques 4
-
- Speech Recognition and Synthesis 40
- Co-authors
- DeLiang Wang (13 shared papers)Yuxuan Wang (1 shared paper)Tara N. Sainath (18 shared papers)Michiel Bacchiani (13 shared papers)Ananya Misra (9 shared papers)K. K. Chin (5 shared papers)Kevin Wilson (6 shared papers)Ron J. Weiss (5 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (4 papers)SAE technical papers on CD-ROM/SAE technical paper series (3 papers)Journal of the American College of Cardiology (2 papers)The Journal of the Acoustical Society of America (2 papers)IEEE Transactions on Audio Speech and Language Processing (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Arun Narayanan
62 papers receiving 2.3k citations
Arun Narayanan's Hit Papers
Peers
Comparison fields: 5 of 83
- Signal Processing 2.2k
- Artificial Intelligence 1.7k
- Computational Mechanics 661
- Cognitive Neuroscience 371
- Pharmacy 42
Countries citing papers authored by Arun Narayanan
This map shows the geographic impact of Arun Narayanan'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 Arun Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Narayanan more than expected).
Fields of papers citing papers by Arun Narayanan
This network shows the impact of papers produced by Arun Narayanan. 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 Arun Narayanan. The network helps show where Arun Narayanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Arun Narayanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On Training Targets for Supervised Speech Separation Hit paper breakdown → | 2014 | 816 |
| 2 | Ideal ratio mask estimation using deep neural networks for robust speech recognition Hit paper breakdown → | 2013 | 388 |
| 3 | 2017 | 178 | |
| 4 | 2017 | 150 | |
| 5 | 2017 | 107 | |
| 6 | 2014 | 102 | |
| 7 | 2018 | 82 | |
| 8 | 2021 | 70 | |
| 9 | 2014 | 65 | |
| 10 | 2019 | 53 | |
| 11 | 2014 | 47 | |
| 12 | 2021 | 47 | |
| 13 | 2016 | 44 | |
| 14 | 2015 | 36 | |
| 15 | 2021 | 34 | |
| 16 | 2013 | 31 | |
| 17 | 2012 | 24 | |
| 18 | 2013 | 20 | |
| 19 | 2018 | 20 | |
| 20 | 2017 | 20 |
About Arun Narayanan
Arun Narayanan is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 71 papers that have together received 2.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (43 papers), Speech Recognition and Synthesis (40 papers), Music and Audio Processing (27 papers), Advanced Adaptive Filtering Techniques (11 papers), Cardiac pacing and defibrillation studies (5 papers), Blind Source Separation Techniques (4 papers), Cardiomyopathy and Myosin Studies (4 papers) and Hearing Loss and Rehabilitation (4 papers). The work is most often cited by research in Signal Processing (2.2k citations), Artificial Intelligence (1.7k citations), Computational Mechanics (661 citations), Cognitive Neuroscience (371 citations) and Pharmacy (42 citations). Arun Narayanan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include DeLiang Wang, Yuxuan Wang, Tara N. Sainath, Michiel Bacchiani, Ananya Misra, K. K. Chin, Kevin Wilson, Ron J. Weiss, Izhak Shafran and Ehsan Variani. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, SAE technical papers on CD-ROM/SAE technical paper series, Journal of the American College of Cardiology, The Journal of the Acoustical Society of America and IEEE 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.