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Tatsuya Kawahara

Kyoto, Japan

28 papers hereh-index 437.9k citations504 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author21

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • eess.AS9
  • cs.SD5
  • cs.HC1
  • cs.RO1
affiliations
  • Kyoto, Japan
Homepage
same name
  • Tatsuya Kawahara — 33 papers, h 6
  • Tatsuya Kawahara — 7 papers, h 2
  • Tatsuya Kawahara — 5 papers, h 6
  • Tatsuya Kawahara — 4 papers, h 1
  • Tatsuya Kawahara — 2 papers, h 2
  • Tatsuya Kawahara — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedStatistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization

137 citations · 256 across the 24 of their papers we have counts for

collaborators
Showing 2019 · cs.CLShow all

3 papers · 2 filters

cs.CL2019★ 5 cited

Multilingual End-to-End Speech Translation

Hirofumi Inaguma, Kevin Duh, Tatsuya Kawahara +1

In this paper, we propose a simple yet effective framework for multilingual end-to-end speech translation (ST), in which speech utterances in source languages are directly translat…

cs.CL2019

Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR

Hirofumi Inaguma, Masato Mimura, Shinsuke Sakai +1

Acoustic-to-word (A2W) end-to-end automatic speech recognition (ASR) systems have attracted attention because of an extremely simplified architecture and fast decoding. To alleviat…

cs.CL2019

Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation

Tianyu Zhao, Shinsuke Mori, Tatsuya Kawahara

Various encoder-decoder models have been applied to response generation in open-domain dialogs, but a majority of conventional models directly learn a mapping from lexical input to…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.