Jason Pelecanos
- Signal Processing top 0.5%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition
- Computational Mechanics
- Experimental and Cognitive Psychology
- Co-authors
- Sridha SridharanSriram GanapathySeyed Omid SadjadiIain McCowanRuhi SarikayaGanesh N. RamaswamyHagai AronowitzRon Hoory
- Topics
- Speech Recognition and Synthesis (41 papers)Speech and Audio Processing (33 papers)Music and Audio Processing (24 papers)
- Journals
- IEEE Signal Processing LettersQUT ePrints (Queensland University of Technology)Conference of the International Speech Communication Association
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jason Pelecanos
43 papers receiving 818 citations
Peers
Comparison fields: 5 of 50
- Signal Processing 836
- Artificial Intelligence 833
- Computer Vision and Pattern Recognition 57
- Computational Mechanics 36
- Experimental and Cognitive Psychology 27
Countries citing papers authored by Jason Pelecanos
This map shows the geographic impact of Jason Pelecanos'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 Jason Pelecanos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Pelecanos more than expected).
Fields of papers citing papers by Jason Pelecanos
This network shows the impact of papers produced by Jason Pelecanos. 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 Jason Pelecanos. The network helps show where Jason Pelecanos may publish in the future.
Co-authorship network of co-authors of Jason Pelecanos
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Pelecanos. A scholar is included among the top collaborators of Jason Pelecanos 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 Jason Pelecanos. Jason Pelecanos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 47 | |
| 4 | 28 | |
| 5 | 3 | |
| 6 | Bottleneck features for speaker recognition. | 42 |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 35 | |
| 10 | Training Universal Background Models for Speaker Recognition | 11 |
| 11 | 17 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | Compensation of utterance length for speaker verification. | 10 |
| 17 | Real time robust speech detection for text independent speaker recognition. | 3 |
| 18 | Dependence of GMM Adaptation on Feature Post-Processing for Speaker Recognition | 6 |
| 19 | 6 | |
| 20 | Feature Warping for Robust Speaker Verification | 453 |
About Jason Pelecanos
Jason Pelecanos is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 929 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (41 papers), Speech and Audio Processing (33 papers) and Music and Audio Processing (24 papers). The work is most often cited by research in Signal Processing (836 citations), Artificial Intelligence (833 citations) and Computer Vision and Pattern Recognition (57 citations). Jason Pelecanos has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sridha Sridharan, Sriram Ganapathy, Seyed Omid Sadjadi, Iain McCowan, Ruhi Sarikaya, Ganesh N. Ramaswamy, Hagai Aronowitz, Ron Hoory, D. Nahamoo and Ignacio López Moreno. Their work appears in journals such as IEEE Signal Processing Letters, QUT ePrints (Queensland University of Technology) and Conference of the International Speech Communication Association.
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.