Emiru Tsunoo
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
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- Speech Recognition and Synthesis 20
- Natural Language Processing Techniques 12
- Topic Modeling 5
- Speech and dialogue systems 5
- Intelligent Tutoring Systems and Adaptive Learning 2
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- Speech and Audio Processing 20
- Music and Audio Processing 17
- Co-authors
- Shinji Watanabe (25 shared papers)Shigeki Sagayama (6 shared papers)Nobutaka Ono (6 shared papers)George Tzanetakis (2 shared papers)Naoya Takahashi (2 shared papers)Kazuki Shimada (2 shared papers)Yuki Mitsufuji (2 shared papers)Shusuke Takahashi (2 shared papers)
- Journals
- IEEE Transactions on Audio Speech and Language Processing (1 paper)Interspeech 2022 (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (5 papers)Zenodo (CERN European Organization for Nuclear Research) (2 papers)Edinburgh Research Explorer (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Emiru Tsunoo
33 papers receiving 261 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 208
- Artificial Intelligence 155
- Computer Vision and Pattern Recognition 82
- Developmental Biology 6
- Music 7
Countries citing papers authored by Emiru Tsunoo
This map shows the geographic impact of Emiru Tsunoo'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 Emiru Tsunoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emiru Tsunoo more than expected).
Fields of papers citing papers by Emiru Tsunoo
This network shows the impact of papers produced by Emiru Tsunoo. 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 Emiru Tsunoo. The network helps show where Emiru Tsunoo may publish in the future.
Co-authors
The 25 scholars most cited alongside Emiru Tsunoo, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 38 | |
| 2 | 2019 | 35 | |
| 3 | 2021 | 29 | |
| 4 | 2010 | 24 | |
| 5 | 2009 | 16 | |
| 6 | 2009 | 15 | |
| 7 | 2017 | 12 | |
| 8 | 2009 | 11 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2010 | 8 | |
| 12 | 2017 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2010 | 7 | |
| 15 | Streaming transformer ASR with blockwise synchronous inference | 2020 | 7 |
| 16 | 2022 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2019 | 4 |
About Emiru Tsunoo
Emiru Tsunoo is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Hardware and Architecture, having authored 39 papers that have together received 285 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (20 papers), Speech and Audio Processing (20 papers), Music and Audio Processing (17 papers), Natural Language Processing Techniques (12 papers), Music Technology and Sound Studies (6 papers), Topic Modeling (5 papers), Speech and dialogue systems (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Signal Processing (208 citations), Artificial Intelligence (155 citations), Computer Vision and Pattern Recognition (82 citations), Developmental Biology (6 citations) and Music (7 citations). Emiru Tsunoo has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Shinji Watanabe, Shigeki Sagayama, Nobutaka Ono, George Tzanetakis, Naoya Takahashi, Kazuki Shimada, Yuki Mitsufuji, Shusuke Takahashi, Yuichiro Koyama and Peter Bell. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Interspeech 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Zenodo (CERN European Organization for Nuclear Research) and Edinburgh Research Explorer.
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.