Kyle Kastner
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 5
- Natural Language Processing Techniques 4
- Speech and dialogue systems 3
- Domain Adaptation and Few-Shot Learning 1
- Advanced Text Analysis Techniques 1
- Co-authors
- Yoshua Bengio (3 shared papers)Aaron C. Courville (3 shared papers)Jose Sotelo (1 shared paper)João Felipe Santos (2 shared papers)Kundan Kumar (1 shared paper)Soroush Mehri (1 shared paper)Jeremy Howard (1 shared paper)Sammy Weiser Novak (1 shared paper)
- Journals
- Nature Methods (1 paper)arXiv (Cornell University) (2 papers)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Kyle Kastner
8 papers receiving 324 citations
Peers
Comparison fields: 5 of 48
- Biophysics 63
- Signal Processing 126
- Structural Biology 14
- Artificial Intelligence 212
- Media Technology 38
Countries citing papers authored by Kyle Kastner
This map shows the geographic impact of Kyle Kastner'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 Kyle Kastner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Kastner more than expected).
Fields of papers citing papers by Kyle Kastner
This network shows the impact of papers produced by Kyle Kastner. 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 Kyle Kastner. The network helps show where Kyle Kastner may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Kastner, 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 | Char2Wav: End-to-End Speech Synthesis | 2017 | 207 |
| 2 | 2021 | 122 | |
| 3 | 2016 | 25 | |
| 4 | 2023 | 3 | |
| 5 | 2024 | 3 | |
| 6 | Dynamic Spectrum Allocation in Low-Bandwidth Power Line Communications | 2012 | 2 |
| 7 | 2024 | 1 | |
| 8 | 2019 | 1 | |
| 9 | 2024 | 0 |
About Kyle Kastner
Kyle Kastner is a scholar working on Artificial Intelligence, Instrumentation, Biophysics, Media Technology and Signal Processing, having authored 9 papers that have together received 364 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Natural Language Processing Techniques (4 papers), Speech and dialogue systems (3 papers), Domain Adaptation and Few-Shot Learning (1 paper), Advanced Text Analysis Techniques (1 paper), PAPR reduction in OFDM (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and Advanced Wireless Communication Techniques (1 paper). The work is most often cited by research in Biophysics (63 citations), Signal Processing (126 citations), Structural Biology (14 citations), Artificial Intelligence (212 citations) and Media Technology (38 citations). Kyle Kastner has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Yoshua Bengio, Aaron C. Courville, Jose Sotelo, João Felipe Santos, Kundan Kumar, Soroush Mehri, Jeremy Howard, Sammy Weiser Novak, John M. Mendenhall and Kristen M. Harris. Their work appears in journals such as Nature Methods, arXiv (Cornell University) and International Conference on Learning Representations.
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.