Sourish Chaudhuri
- Signal Processing top 0.5%
- Music and Audio Processing 10
- Speech and Audio Processing 10
- Developmental Biology top 5%
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- Music Technology and Sound Studies 3
- Video Analysis and Summarization 2
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis 6
- Natural Language Processing Techniques 6
- Topic Modeling 4
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- Innovative Teaching and Learning Methods 2
- Co-authors
- Daniel P. W. EllisKevin WilsonMalcolm SlaneyRif A. SaurousManoj PlakalAren JansenBryan SeyboldJort F. Gemmeke
- Journals
- Neural Information Processing Systems (1 paper)Annual Meeting of the Special Interest Group on Discourse and Dialogue (1 paper)International Conference on Robotics and Automation (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Sourish Chaudhuri
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Signal Processing 1.1k
- Developmental Biology 93
- Computer Vision and Pattern Recognition 695
- Artificial Intelligence 516
- Experimental and Cognitive Psychology 155
Countries citing papers authored by Sourish Chaudhuri
This map shows the geographic impact of Sourish Chaudhuri'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 Sourish Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sourish Chaudhuri more than expected).
Fields of papers citing papers by Sourish Chaudhuri
This network shows the impact of papers produced by Sourish Chaudhuri. 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 Sourish Chaudhuri. The network helps show where Sourish Chaudhuri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sourish Chaudhuri, 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 | 2019 | 8 | |
| 2 | 2018 | 19 | |
| 3 | 2018 | 6 | |
| 4 | CNN architectures for large-scale audio classificationbreakdown → | 2017 | 1432 |
| 5 | Unsupervised Word Discovery from Phonetic Input Using Nested Pitman-Yor Language Modeling | 2013 | 4 |
| 6 | 2013 | 10 | |
| 7 | Unsupervised Structure Discovery for Semantic Analysis of Audio | 2012 | 13 |
| 8 | 2012 | 3 | |
| 9 | 2012 | 2 | |
| 10 | 2012 | 27 | |
| 11 | A Comparison of Latent Variable Models For Conversation Analysis | 2011 | 2 |
| 12 | 2011 | 1 | |
| 13 | 2011 | 34 | |
| 14 | 2011 | 1 | |
| 15 | 2010 | 79 | |
| 16 | 2009 | 5 | |
| 17 | 2009 | 2 | |
| 18 | 2009 | 1 | |
| 19 | 2009 | 2 | |
| 20 | 2008 | 1 |
About Sourish Chaudhuri
Sourish Chaudhuri is a scholar working on Signal Processing, Artificial Intelligence and Music, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Music and Audio Processing (10 papers), Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (6 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (4 papers), Music Technology and Sound Studies (3 papers), Innovative Teaching and Learning Methods (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Signal Processing (1.1k citations), Developmental Biology (93 citations) and Computer Vision and Pattern Recognition (695 citations). Sourish Chaudhuri has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Daniel P. W. Ellis, Kevin Wilson, Malcolm Slaney, Rif A. Saurous, Manoj Plakal, Aren Jansen, Bryan Seybold, Jort F. Gemmeke, Robert C. Moore and Shawn Hershey. Their work appears in journals such as Neural Information Processing Systems, Annual Meeting of the Special Interest Group on Discourse and Dialogue and International Conference on Robotics and Automation.
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.