Ehsan Variani
Impact in
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
-
- Speech and Audio Processing 12
- Music and Audio Processing 11
-
- Speech Recognition and Synthesis 18
- Natural Language Processing Techniques 6
- Topic Modeling 3
- Algorithms and Data Compression 2
- Neural Networks and Applications 1
- Co-authors
- Erik McDermottJavier Gónzalez-DomínguezIgnacio López MorenoXin LeiMichiel BacchianiTara N. SainathIzhak ShafranArun Narayanan
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)Interspeech 2022 (2 papers)
- Partner nations
- United States
In The Last Decade
Ehsan Variani
22 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Signal Processing 884
- Artificial Intelligence 939
- Computer Vision and Pattern Recognition 83
- Computational Mechanics 63
- Cognitive Neuroscience 38
Countries citing papers authored by Ehsan Variani
This map shows the geographic impact of Ehsan Variani'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 Ehsan Variani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Variani more than expected).
Fields of papers citing papers by Ehsan Variani
This network shows the impact of papers produced by Ehsan Variani. 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 Ehsan Variani. The network helps show where Ehsan Variani may publish in the future.
Co-authors
The 25 scholars most cited alongside Ehsan Variani, 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 | 2023 | 1 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 4 | |
| 10 | 2018 | 10 | |
| 11 | 2018 | 6 | |
| 12 | 2017 | 100 | |
| 13 | 2017 | 165 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 13 | |
| 16 | 2015 | 29 | |
| 17 | Deep neural networks for small footprint text-dependent speaker verification Hit paper breakdown → | 2014 | 645 |
| 18 | 2013 | 29 | |
| 19 | 2013 | 9 | |
| 20 | 2011 | 2 |
About Ehsan Variani
Ehsan Variani is a scholar working on Signal Processing, Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (12 papers), Music and Audio Processing (11 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (3 papers), Algorithms and Data Compression (2 papers), Neural Networks and Applications (1 paper) and Advanced Adaptive Filtering Techniques (1 paper). The work is most often cited by research in Signal Processing (884 citations), Artificial Intelligence (939 citations), Computer Vision and Pattern Recognition (83 citations), Computational Mechanics (63 citations) and Cognitive Neuroscience (38 citations). Ehsan Variani has collaborated with scholars based in United States. Frequent co-authors include Erik McDermott, Javier Gónzalez-Domínguez, Ignacio López Moreno, Xin Lei, Michiel Bacchiani, Tara N. Sainath, Izhak Shafran, Arun Narayanan, Chanwoo Kim and Kevin Wilson. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.
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.