Ryo Aihara
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Physiology
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Co-authors
- Yasuo ArikiTetsuya TakiguchiRyoichi TakashimaToru NakashikaJonathan Le RouxYuki TakashimaGordon WichernToshiyuki Hanazawa
- Topics
- Speech Recognition and Synthesis (32 papers)Speech and Audio Processing (29 papers)Music and Audio Processing (19 papers)
- Journals
- IEEE AccessIEEE/ACM Transactions on Audio Speech and Language ProcessingIEICE Transactions on Information and Systems
- Partner nations
- JapanUnited States
In The Last Decade
Ryo Aihara
32 papers receiving 273 citations
Peers
Comparison fields: 5 of 31
- Signal Processing 266
- Artificial Intelligence 266
- Physiology 50
- Experimental and Cognitive Psychology 34
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Ryo Aihara
This map shows the geographic impact of Ryo Aihara'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 Ryo Aihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Aihara more than expected).
Fields of papers citing papers by Ryo Aihara
This network shows the impact of papers produced by Ryo Aihara. 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 Ryo Aihara. The network helps show where Ryo Aihara may publish in the future.
Co-authorship network of co-authors of Ryo Aihara
This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Aihara. A scholar is included among the top collaborators of Ryo Aihara 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 Ryo Aihara. Ryo Aihara 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 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 17 | |
| 14 | 11 | |
| 15 | 17 | |
| 16 | 3 | |
| 17 | 31 | |
| 18 | Noise-robust voice conversion based on spectral mapping on sparse space. | 11 |
| 19 | Individuality-Preserving Voice Conversion for Articulation Disorders Using Locality-Constrained NMF | 0 |
| 20 | Consonant enhancement for articulation disorders based on non-negative matrix factorization | 6 |
About Ryo Aihara
Ryo Aihara is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 35 papers that have together received 304 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (29 papers) and Music and Audio Processing (19 papers). The work is most often cited by research in Signal Processing (266 citations), Artificial Intelligence (266 citations) and Experimental and Cognitive Psychology (34 citations). Ryo Aihara has collaborated with scholars based in Japan and United States. Frequent co-authors include Yasuo Ariki, Tetsuya Takiguchi, Ryoichi Takashima, Toru Nakashika, Jonathan Le Roux, Yuki Takashima, Gordon Wichern, Toshiyuki Hanazawa, Kazuyuki Tanaka and Takao Fujii. Their work appears in journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and IEICE Transactions on Information and Systems.
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.