Preethi Jyothi
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
-
- Speech Recognition and Synthesis 45
- Natural Language Processing Techniques 31
- Topic Modeling 16
- Speech and dialogue systems 15
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- Speech and Audio Processing 21
- Music and Audio Processing 14
- Co-authors
- Mark Hasegawa‐Johnson (12 shared papers)Eric Fosler‐Lussier (8 shared papers)Abhinav Jain (1 shared paper)Sunita Sarawagi (6 shared papers)Karen Livescu (5 shared papers)Rohit Prabhavalkar (2 shared papers)Siddhartha Chaudhuri (1 shared paper)Soumen Chakrabarti (1 shared paper)
- Journals
- Computer Speech & Language (2 papers)Proceedings of the IEEE (1 paper)Laboratory Phonology Journal of the Association for Laboratory Phonology (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Language Resources and Evaluation (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Preethi Jyothi
65 papers receiving 458 citations
Peers
Comparison fields: 5 of 55
- Signal Processing 201
- Artificial Intelligence 422
- Experimental and Cognitive Psychology 60
- Computer Vision and Pattern Recognition 65
- Computer Science Applications 17
Countries citing papers authored by Preethi Jyothi
This map shows the geographic impact of Preethi Jyothi'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 Preethi Jyothi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preethi Jyothi more than expected).
Fields of papers citing papers by Preethi Jyothi
This network shows the impact of papers produced by Preethi Jyothi. 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 Preethi Jyothi. The network helps show where Preethi Jyothi may publish in the future.
Co-authors
The 25 scholars most cited alongside Preethi Jyothi, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 55 | |
| 2 | Generalizing Across Domains via Cross-Gradient Training | 2018 | 38 |
| 3 | 2021 | 36 | |
| 4 | 2013 | 25 | |
| 5 | 2016 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 20 | |
| 8 | 2015 | 18 | |
| 9 | 2010 | 17 | |
| 10 | 2015 | 14 | |
| 11 | 2016 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2012 | 11 | |
| 16 | Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers | 2020 | 10 |
| 17 | 2015 | 10 | |
| 18 | 2015 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2011 | 9 |
About Preethi Jyothi
Preethi Jyothi is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Computer Science Applications, having authored 78 papers that have together received 495 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (45 papers), Natural Language Processing Techniques (31 papers), Speech and Audio Processing (21 papers), Topic Modeling (16 papers), Speech and dialogue systems (15 papers), Music and Audio Processing (14 papers), Phonetics and Phonology Research (6 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Signal Processing (201 citations), Artificial Intelligence (422 citations), Experimental and Cognitive Psychology (60 citations), Computer Vision and Pattern Recognition (65 citations) and Computer Science Applications (17 citations). Preethi Jyothi has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Mark Hasegawa‐Johnson, Eric Fosler‐Lussier, Abhinav Jain, Sunita Sarawagi, Karen Livescu, Rohit Prabhavalkar, Siddhartha Chaudhuri, Soumen Chakrabarti, Samarth Bharadwaj and Yanzhang He. Their work appears in journals such as Computer Speech & Language, Proceedings of the IEEE, Laboratory Phonology Journal of the Association for Laboratory Phonology, IEEE/ACM Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.
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.