Shinnosuke Takamichi

102 papers receiving 901 citations

Peers

Shinnosuke Takamichi
Comparison fields: 5 of 57
  • Artificial Intelligence 756
  • Signal Processing 682
  • Computer Vision and Pattern Recognition 115
  • Experimental and Cognitive Psychology 64
  • Computational Mechanics 56
Replace Rohit Sinha with:
Rohit Sinha India
Ehsan Variani United States
Tom Ko China
Shinji Takaki Japan
Yoshihiko Nankaku Japan
Suryakanth V. Gangashetty India
Xuankai Chang United States
Olivier Siohan United States
Zhengqi Wen China
Petr Motlíček Switzerland
Shinnosuke Takamichi relative to Rohit Sinha India Rohit Sinha's profile →
Citations per field
00.5×1.5×2.4×
Rohit Sinha · 1×
Citations per year

Countries citing papers authored by Shinnosuke Takamichi

Since Specialization
Citations

This map shows the geographic impact of Shinnosuke Takamichi'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 Shinnosuke Takamichi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinnosuke Takamichi more than expected).

Fields of papers citing papers by Shinnosuke Takamichi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shinnosuke Takamichi. 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 Shinnosuke Takamichi. The network helps show where Shinnosuke Takamichi may publish in the future.

Co-authorship network of co-authors of Shinnosuke Takamichi

This figure shows the co-authorship network connecting the top 25 collaborators of Shinnosuke Takamichi. A scholar is included among the top collaborators of Shinnosuke Takamichi 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 Shinnosuke Takamichi. Shinnosuke Takamichi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 6
4 2
5 2
6 2
7 1
8 9
9 67
10 9
11
DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus
2
12
Real-Time, Full-Band, Online DNN-Based Voice Conversion System Using a Single CPU.
4
13 50
14
CPJD Corpus: Crowdsourced Parallel Speech Corpus of Japanese Dialects
5
15
Experimental Evaluation of Multichannel Audio Source Separation Based on IDLMA
3
16
Evaluation of DNN-Based Voice Conversion Deceiving Anti-spoofing Verification
2
17
Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities and Evaluation of Dual Learning
1
18 4
19
Prosody Correction Preserving Speaker Individuality in English-Read-By-Japanese Speech Synthesis Based on HMM
1
20
A Method for Translation of Paralinguistic Information
15

About Shinnosuke Takamichi

Shinnosuke Takamichi is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 116 papers that have together received 978 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (92 papers), Speech and Audio Processing (64 papers) and Music and Audio Processing (45 papers). The work is most often cited by research in Signal Processing (682 citations), Artificial Intelligence (756 citations) and Computer Vision and Pattern Recognition (115 citations). Shinnosuke Takamichi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hiroshi Saruwatari, Yuki Saito, Satoshi Nakamura, Tomoki Toda, Sakriani Sakti, Tomoki Koriyama, Graham Neubig, Yusuke Ijima, Kyosuke Nishida and Alan W. Black. Their work appears in journals such as IEEE Access, Signal Processing and IEEE Journal of Selected Topics in Signal Processing.

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.

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