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Journal Articles
- 2024
[j3]Daiki Mori, Kengo Ohta, Ryota Nishimura, Atsunori Ogawa, Norihide Kitaoka
:
Recognition of target domain Japanese speech using language model replacement. EURASIP J. Audio Speech Music. Process. 2024(1): 40 (2024)- 2021
- [j2]Zolzaya Byambadorj, Ryota Nishimura, Altangerel Ayush, Kengo Ohta, Norihide Kitaoka:
Text-to-speech system for low-resource language using cross-lingual transfer learning and data augmentation. EURASIP J. Audio Speech Music. Process. 2021(1): 42 (2021) - [j1]Kengo Ohta, Ryota Nishimura, Norihide Kitaoka:
Response type selection for chat-like spoken dialog systems based on LSTM and multi-task learning. Speech Commun. 133: 23-30 (2021)
Conference and Workshop Papers
- 2023
- [c18]Koharu Horii, Kengo Ohta, Ryota Nishimura, Atsunori Ogawa, Norihide Kitaoka:
Language modeling for spontaneous speech recognition based on disfluency labeling and generation of disfluent text. APSIPA ASC 2023: 1851-1856 - [c17]Keigo Hojo, Daiki Mori, Yukoh Wakabayashi, Kengo Ohta, Atsunori Ogawa, Norihide Kitaoka:
Combining multiple end-to-end speech recognition models based on density ratio approach. APSIPA ASC 2023: 2274-2279 - [c16]Aito Nakata, Ryota Nishimura, Kengo Ohta, Norihide Kitaoka:
Development of a model for predicting timing of back-channel in a real-time spoken dialog system. GCCE 2023: 453-456 - 2022
- [c15]Koharu Horii, Meiko Fukuda, Kengo Ohta, Ryota Nishimura, Atsunori Ogawa, Norihide Kitaoka:
End-to-End Spontaneous Speech Recognition Using Disfluency Labeling. INTERSPEECH 2022: 4108-4112 - 2021
- [c14]Daiki Mori, Kengo Ohta, Ryota Nishimura, Atsunori Ogawa, Norihide Kitaoka:
Advanced language model fusion method for encoder-decoder model in Japanese speech recognition. APSIPA ASC 2021: 503-510 - [c13]Zolzaya Byambadorj, Ryota Nishimura, Altangerel Ayush, Kengo Ohta, Norihide Kitaoka:
Multi-speaker TTS system for low-resource language using cross-lingual transfer learning and data augmentation. APSIPA ASC 2021: 849-853 - [c12]Koharu Horii, Meiko Fukuda, Kengo Ohta, Ryota Nishimura, Atsunori Ogawa, Norihide Kitaoka:
End-to-End Spontaneous Speech Recognition Using Hesitation Labeling. APSIPA ASC 2021: 1077-1081 - 2019
- [c11]Kengo Ohta, Ryota Nishimura, Norihide Kitaoka:
Type of Response Selection utilizing User Utterance Word Sequence, LSTM and Multi-task Learning for Chat-like Spoken Dialog Systems. APSIPA 2019: 1051-1055 - 2018
- [c10]Hirokazu Akadomari, Kosuke Ishikawa, Yosuke Kobayashi, Kengo Ohta, Jay Kishigami:
HMM-based Speech Synthesizer for Easily Understandable Speech Broadcasting. GCCE 2018: 749-750 - 2017
- [c9]Kengo Ohta, Rikito Marumoto, Ryota Nishimura, Norihide Kitaoka:
Selecting type of response for chat-like spoken dialogue systems based on acoustic features of user utterances. APSIPA 2017: 1248-1252 - [c8]Yosuke Kobayashi, Kosuke Ishikawa, Kengo Ohta, Jay Kishigami:
Semantic parser for easy understandable speech broadcasting. GCCE 2017: 1-2 - 2012
- [c7]Kengo Ohta, Masatoshi Tsuchiya, Seiichi Nakagawa:
Developing Partially-Transcribed Speech Corpus from Edited Transcriptions. LREC 2012: 3399-3404 - [c6]Seiichi Nakagawa, Erdenebat Turmunkh, Hiroshi Kibishi, Kengo Ohta, Yasuhisa Fujii, Masatoshi Tsuchiya, Kazumasa Yamamoto:
Development of large vocabulary continuous speech recognition system for Mongolian language. SLTU 2012: 19-23 - 2011
- [c5]Kengo Ohta, Masatoshi Tsuchiya, Seiichi Nakagawa:
Detection of precisely transcribed parts from inexact transcribed corpus. ASRU 2011: 541-546 - 2009
- [c4]Kengo Ohta, Masatoshi Tsuchiya, Seiichi Nakagawa:
Effective use of pause information in language modelling for speech recognition. INTERSPEECH 2009: 2691-2694 - 2008
- [c3]Kengo Ohta, Masatoshi Tsuchiya, Seiichi Nakagawa:
Evaluating spoken language model based on filler prediction model in speech recognition. INTERSPEECH 2008: 1558-1561 - [c2]Masatoshi Tsuchiya, Satoru Kogure, Hiromitsu Nishizaki, Kengo Ohta, Seiichi Nakagawa:
Developing Corpus of Japanese Classroom Lecture Speech Contents. LREC 2008 - 2007
- [c1]Kengo Ohta, Masatoshi Tsuchiya, Seiichi Nakagawa:
Construction of spoken language model including fillers using filler prediction model. INTERSPEECH 2007: 1489-1492
Coauthor Index
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