Ravichander Vipperla
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Natural Language Processing Techniques
Papers in
-
- Speech and Audio Processing 17
- Music and Audio Processing 11
- Blind Source Separation Techniques 5
-
- Speech Recognition and Synthesis 16
- Natural Language Processing Techniques 3
- Speech and dialogue systems 2
- Co-authors
- Steve RenalsJoe FrankelDong WangNicholas EvansFederico AlegreLantian LiZhiyuan TangGerhard Rigoll
- Journals
- ACM Transactions on Information Systems (1 paper)Speech Communication (1 paper)Multimedia Tools and Applications (1 paper)IEEE Transactions on Signal Processing (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)
- Partner nations
- United KingdomFranceGermany
In The Last Decade
Ravichander Vipperla
22 papers receiving 314 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 224
- Artificial Intelligence 272
- Experimental and Cognitive Psychology 37
- Computer Vision and Pattern Recognition 41
- Physiology 38
Countries citing papers authored by Ravichander Vipperla
This map shows the geographic impact of Ravichander Vipperla'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 Ravichander Vipperla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravichander Vipperla more than expected).
Fields of papers citing papers by Ravichander Vipperla
This network shows the impact of papers produced by Ravichander Vipperla. 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 Ravichander Vipperla. The network helps show where Ravichander Vipperla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ravichander Vipperla, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 65 | |
| 4 | NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition | 2021 | 10 |
| 5 | 2020 | 2 | |
| 6 | 2016 | 36 | |
| 7 | 2013 | 34 | |
| 8 | Speech Overlap Detection and Attribution Using Convolutive Non-Negative Sparse Coding: New Improvements and Insights | 2012 | 3 |
| 9 | 2012 | 11 | |
| 10 | 2012 | 21 | |
| 11 | 2012 | 5 | |
| 12 | 2012 | 6 | |
| 13 | 2011 | 13 | |
| 14 | Robust speech recognition in multi-source noise environments using convolutive non-negative matrix factorization | 2011 | 12 |
| 15 | 2011 | 0 | |
| 16 | 2011 | 1 | |
| 17 | 2010 | 22 | |
| 18 | 2010 | 31 | |
| 19 | Proc. Interspeech 2009 | 2009 | 2 |
| 20 | 2008 | 42 |
About Ravichander Vipperla
Ravichander Vipperla is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering, having authored 23 papers that have together received 348 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (16 papers), Music and Audio Processing (11 papers), Blind Source Separation Techniques (5 papers), Advanced Data Compression Techniques (4 papers), Natural Language Processing Techniques (3 papers), Speech and dialogue systems (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Signal Processing (224 citations), Artificial Intelligence (272 citations), Experimental and Cognitive Psychology (37 citations), Computer Vision and Pattern Recognition (41 citations) and Physiology (38 citations). Ravichander Vipperla has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Steve Renals, Joe Frankel, Dong Wang, Nicholas Evans, Nicholas Evans, Federico Alegre, Lantian Li, Zhiyuan Tang, Dong Wang and Gerhard Rigoll. Their work appears in journals such as ACM Transactions on Information Systems, Speech Communication, Multimedia Tools and Applications, IEEE Transactions on Signal Processing 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.