Keiichi Tokuda
- Artificial Intelligence top 0.1%
- Signal Processing top 0.05%
- Experimental and Cognitive Psychology top 1%
- Computer Vision and Pattern Recognition top 1%
- Control and Systems Engineering top 5%
- Co-authors
- Takao KobayashiTakashi MasukoHeiga ZenTadashi KitamuraTomoki TodaYoshihiko NankakuAlan W. BlackTakayoshi Yoshimura
- Topics
- Speech Recognition and Synthesis (219 papers)Speech and Audio Processing (178 papers)Music and Audio Processing (79 papers)
- Journals
- Physical Review LettersProceedings of the IEEEThe Journal of the Acoustical Society of America
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Keiichi Tokuda
279 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 5.7k
- Signal Processing 4.7k
- Experimental and Cognitive Psychology 891
- Computer Vision and Pattern Recognition 826
- Control and Systems Engineering 183
Countries citing papers authored by Keiichi Tokuda
This map shows the geographic impact of Keiichi Tokuda'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 Keiichi Tokuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi Tokuda more than expected).
Fields of papers citing papers by Keiichi Tokuda
This network shows the impact of papers produced by Keiichi Tokuda. 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 Keiichi Tokuda. The network helps show where Keiichi Tokuda may publish in the future.
Co-authorship network of co-authors of Keiichi Tokuda
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Tokuda. A scholar is included among the top collaborators of Keiichi Tokuda 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 Keiichi Tokuda. Keiichi Tokuda 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 | 3 | |
| 3 | An Open-Source Toolkit for Building Attractive Voice Interaction Systems -- MMDAgent | 1 |
| 4 | Recent development of the HMM-based singing voice synthesis system - Sinsy. | 44 |
| 5 | 2 | |
| 6 | The 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 | 21 |
| 7 | 3 | |
| 8 | A trainable singing voice synthesis system capable of representing personal characteristics and singing styles | 1 |
| 9 | Spectral Conversion based on Statistical Models Including Time-Sequence Matching | 7 |
| 10 | Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition(Feature Extraction and Acoustic Medelings, Corpus-Based Speech Technologies) | 1 |
| 11 | An introduction of trajectory model into HMM-based speech synthesis. | 36 |
| 12 | A Training Method of Average Voice Model for HMM-Based Speech Synthesis | 44 |
| 13 | Mixture Density Models Based on Mel-Cepstral Representation of Gaussian Process | 3 |
| 14 | A Context Clustering Technique for Average Voice Models | 20 |
| 15 | Multi-Space Probability Distribution HMM | 156 |
| 16 | Investigation of State Duration Model based on Gamma distribution for HMM-based Speech Synthesis | 10 |
| 17 | Vector Quantization of Speech Spectral Parameters Using Statistics of Static and Dynamic Features | 8 |
| 18 | Visual Speech Synthesis Based on Parameter Generation From HMM: Speech-Driven and Text-And-Speech-Driven Approaches. | 22 |
| 19 | Speaker adaptation for HMM-based speech synthesis system using MLLR. | 71 |
| 20 | Multi - Band Decomposition of the Linear Prediction Error Applied to Adaptive AR Spectral Estimation | 4 |
About Keiichi Tokuda
Keiichi Tokuda is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 291 papers that have together received 6.7k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (219 papers), Speech and Audio Processing (178 papers) and Music and Audio Processing (79 papers). The work is most often cited by research in Signal Processing (4.7k citations), Artificial Intelligence (5.7k citations) and Experimental and Cognitive Psychology (891 citations). Keiichi Tokuda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Takao Kobayashi, Takashi Masuko, Heiga Zen, Tadashi Kitamura, Tomoki Toda, Yoshihiko Nankaku, Alan W. Black, Takayoshi Yoshimura, Junichi Yamagishi and Keiichiro Oura. Their work appears in journals such as Physical Review Letters, Proceedings of the IEEE and The Journal of the Acoustical Society of America.
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.