Sathish Pammi
- Artificial Intelligence top 5%
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Marc L. SchröderMarcela CharfuelànElisabetta BevacquaOytun TürkBjörn W. SchullerÉtienne de SevinCatherine PélachaudMaja Pantić
- Topics
- Speech and dialogue systems (14 papers)Speech Recognition and Synthesis (12 papers)Speech and Audio Processing (7 papers)
- Journals
- IEEE Transactions on Affective ComputingJournal of Field RoboticsLanguage Resources and Evaluation
- Partner nations
- GermanyNetherlandsFrance
In The Last Decade
Sathish Pammi
18 papers receiving 257 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 215
- Social Psychology 115
- Experimental and Cognitive Psychology 108
- Signal Processing 61
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Sathish Pammi
This map shows the geographic impact of Sathish Pammi'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 Sathish Pammi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sathish Pammi more than expected).
Fields of papers citing papers by Sathish Pammi
This network shows the impact of papers produced by Sathish Pammi. 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 Sathish Pammi. The network helps show where Sathish Pammi may publish in the future.
Co-authorship network of co-authors of Sathish Pammi
This figure shows the co-authorship network connecting the top 25 collaborators of Sathish Pammi. A scholar is included among the top collaborators of Sathish Pammi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sathish Pammi. Sathish Pammi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | HMM-based scost quality control for unit selection speech synthesis. | 2 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | 118 | |
| 10 | 28 | |
| 11 | 2 | |
| 12 | Multilingual Voice Creation Toolkit for the MARY TTS Platform. | 19 |
| 13 | Synthesis of listener vocalisations with imposed intonation contours. | 6 |
| 14 | A Multimodal Listener Behaviour Driven by Audio Input | 5 |
| 15 | 15 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 13 | |
| 19 | 15 | |
| 20 | Text processing for text-to-speech systems in Indian languages. | 32 |
About Sathish Pammi
Sathish Pammi is a scholar working on Experimental and Cognitive Psychology, Signal Processing and Artificial Intelligence, having authored 21 papers that have together received 293 indexed citations. Recurring topics across this work include Speech and dialogue systems (14 papers), Speech Recognition and Synthesis (12 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (108 citations), Artificial Intelligence (215 citations) and Signal Processing (61 citations). Sathish Pammi has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Marc L. Schröder, Marcela Charfuelàn, Elisabetta Bevacqua, Oytun Türk, Björn W. Schuller, Étienne de Sevin, Catherine Pélachaud, Maja Pantić, Ingmar Steiner and Dirk Heylen. Their work appears in journals such as IEEE Transactions on Affective Computing, Journal of Field Robotics 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.