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Shinnosuke Takamichi

Shinnosuke Takamichi has 2 papers in our library, in 2022–2026, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Hiroshi Saruwatari, Wataru Nakata, Hitomi Yanaka.

2 papers in our library · 2022–2026

OpenAlex · ORCID · Wikidata · h-index 21 · 232 works · 2,009 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 97 times in our library · 20 more in our library without a page yet · ⭐ Paper Stars ranking: #5342

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓The University of TokyoTokyo · Japan2016–2026 · 108 paperscurrent🎓Keio UniversityTokyo · Japan2024–2026 · 28 paperscurrent🎓Nara Institute of Science and TechnologyIkoma · Japan2013–2018 · 11 papers🎓Carnegie Mellon UniversityPittsburgh · United States2014–2015 · 4 papers🏢NTTTokyo · Japan2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksMedicine · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksPhysiology · 1 workSignal Processing · 1 work

🧭 Topics 3Research subjects and languages the work is about.Dialogue systems · 1 workLanguage models & pretraining · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20261 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022 (2022 · 324 citations)
    Listening tests are the most reliable way to judge synthetic speech, but they are slow and costly. This paper describes UTMOS, the University of Tokyo (SaruLab) entry to VoiceMOS Challenge 2022, which predicts mean opinion scores (MOS) automatically. The challenge had two tracks. The main track used English samples…
  2. J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling (2026 · 2 citations)
    End-to-end spoken dialogue systems (SDSs) model speech directly instead of chaining ASR, text generation and TTS.

All works

22 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022InterspeechTakaaki Saeki, Detai Xin, Wataru Nakata, et al.2022 · 324 citations
  2. Postfilters to Modify the Modulation Spectrum for Statistical Parametric Speech Synthesis ↗IEEE/ACM Transactions on Audio Speech and Language Processing · no summary yetShinnosuke Takamichi et al.2016 · 74 citations
  3. A postfilter to modify the modulation spectrum in HMM-based speech synthesis ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetShinnosuke Takamichi et al.2014 · 51 citations
  4. A method for translation of paralinguistic information ↗Proceedings of the 9th International Workshop on Spoken Language Translation: Papers · no summary yetTakatomo Kano et al.2012 · 18 citations
  5. Generalizing continuous-space translation of paralinguistic information ↗Interspeech (USB) · no summary yetTakatomo Kano et al.2013 · 17 citations
  6. Parameter Generation Methods With Rich Context Models for High-Quality and Flexible Text-To-Speech Synthesis ↗IEEE Journal of Selected Topics in Signal Processing · no summary yetShinnosuke Takamichi et al.2013 · 17 citations
  7. An end-to-end model for cross-lingual transformation of paralinguistic information ↗Machine Translation · no summary yetTakatomo Kano et al.2018 · 13 citations
  8. Preserving word-level emphasis in speech-to-speech translation using linear regression HSMMs ↗Interspeech (USB) · no summary yetQuoc Truong et al.2015 · 12 citations
  9. Non-native speech synthesis preserving speaker individuality based on partial correction of prosodic and phonetic characteristics ↗Interspeech (USB) · no summary yetYuji Oshima et al.2015 · 5 citations
  10. J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language ModelingLanguage Resources and Evaluation Conference (LREC)Wataru Nakata, Kentaro Seki, Hitomi Yanaka, et al.2026 · 2 citations
  11. Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approaches ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetAnum Afzal et al.2026 · 2 citations
  12. Excitement-Inducing Commentary Text-to-Speech System for Fighting Game Video Scenes ↗IEEE Access · no summary yetKota Iura et al.2025 · 2 citations
  13. HMM-Based Speech Synthesis System with Prosody Modification Based on Speech Input ↗IEICE technical report. Speech · no summary yet友理 西垣 et al.2014 · 2 citations
  14. A hearing impairment simulation method using audiogram-based approximation of auditory charatecteristics ↗Interspeech (USB) · no summary yet希美 神保 et al.2014 · 1 citation
  15. Prosody Correction Preserving Speaker Individuality in English-Read-By-Japanese Speech Synthesis Based on HMM ↗IEICE technical report. Speech · no summary yetYuji Oshima et al.2014 · 1 citation
  16. Improvements to HMM-based speech synthesis based on parameter generation with rich context models ↗Interspeech (USB) · no summary yetShinnosuke Takamichi et al.2013 · 1 citation
  17. Low-Latency Real-Time Audio Game Commentary System via LLM-Based Parallel Text Generation ↗International Joint Conference on Artificial Intelligence · no summary yetRyota Kawamatsu et al.2026
  18. Measuring Time Delay Tolerance in Third-Person Live Commentary for Super Smash Bros. Ultimate ↗IEEE Conference on Games (CoG) · no summary yetRyosuke Matsushita et al.2025
  19. Word-level Emphasis Transfer in Speech-to-speech Translation | Article Information | J-GLOBAL ↗日本音響学会研究発表会講演論文集(CD-ROM) · no summary yetQuoc Truong et al.2016
  20. F0 contour generation using rich context models in HMM-based speech synthesis ↗IEICE Technical Report; IEICE Tech. Rep. · no summary yetShinnosuke Takamichi et al.2013
  21. Postfilter Based on Mudulation Spectrum in HMM-Based Speech Synthesis ↗IEICE Technical Report; IEICE Tech. Rep. · no summary yetShinnosuke Takamichi et al.2013
  22. Improvements of HMM-based speech synthesis using rich context models ↗IEICE technical report. Speech · no summary yetShinnosuke Takamichi et al.2012

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 97 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

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