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Journal Articles
- 2024
[j8]Tetsuo Kosaka, Kazuya Saeki, Yoshitaka Aizawa, Masaharu Kato, Takashi Nose:
Simultaneous Adaptation of Acoustic and Language Models for Emotional Speech Recognition Using Tweet Data. IEICE Trans. Inf. Syst. 107(3): 363-373 (2024)- 2010
- [j7]Tetsuo Kosaka, Yuui Takeda, Takashi Ito, Masaharu Katoh, Masaki Kohda:
Unsupervised Speaker Adaptation Using Speaker-Class Models for Lecture Speech Recognition. IEICE Trans. Inf. Syst. 93-D(9): 2363-2369 (2010) - 2009
- [j6]Akinori Ito, Hiroaki Kinno, Masaharu Katoh, Tetsuo Kosaka, Masaki Kohda:
Dictation of Japanese Speech Based on Kana and Kanji Character String. Int. J. Comput. Process. Orient. Lang. 22(1): 75-98 (2009) - 2005
- [j5]Tetsuo Kosaka, Masaharu Katoh, Masaki Kohda:
Robust Speech Recognition Using Discrete-Mixture HMMs. IEICE Trans. Inf. Syst. 88-D(12): 2811-2818 (2005) - 1999
- [j4]Masahiro Tonomura, Tetsuo Kosaka, Shoichi Matsunaga:
Speaker adaptation using maximum a posteriori probability estimation with data size-dependent parameter smoothing. Syst. Comput. Jpn. 30(11): 59-66 (1999) - 1996
- [j3]Tetsuo Kosaka, Shoichi Matsunaga, Shigeki Sagayama:
Speaker-independent speech recognition based on tree-structured speaker clustering. Comput. Speech Lang. 10(1): 55-74 (1996) - [j2]Masahiro Tonomura, Tetsuo Kosaka, Shoichi Matsunaga:
Speaker adaptation based on transfer vector field smoothing using maximum a posteriori probability estimation. Comput. Speech Lang. 10(2): 117-132 (1996) - 1995
- [j1]Tetsuo Kosaka, Shigeki Sagayama:
Automatic Determination of the Number of Mixture Components for Continuous HMMs Based a Uniform Variance Criterion. IEICE Trans. Inf. Syst. 78-D(6): 642-647 (1995)
Conference and Workshop Papers
- 2023
- [c30]Kiyohide Sato, Keita Kishi, Tetsuo Kosaka:
Speech Emotion Recognition by Late Fusion of Linguistic and Acoustic Features using Deep Learning Models. APSIPA ASC 2023: 1013-1018 - 2021
- [c29]Misaki Sakurai, Tetsuo Kosaka:
Emotion Recognition Combining Acoustic and Linguistic Features Based on Speech Recognition Results. GCCE 2021: 824-827 - 2020
- [c28]Kazuya Saeki, Masaharu Kato, Tetsuo Kosaka:
Language Model Adaptation for Emotional Speech Recognition using Tweet data. APSIPA 2020: 371-375 - 2019
- [c27]Kazuya Saeki, Masaharu Kato, Tetsuo Kosaka:
Performance Improvement of Prosody-ContRolled Voice Conversion by Language Model Adaptation. GCCE 2019: 830-832 - 2018
- [c26]Tetsuo Kosaka, Yoshitaka Aizawa, Masaharu Kato, Takashi Nose:
Acoustic Model Adaptation for Emotional Speech Recognition Using Twitter-Based Emotional Speech Corpus. APSIPA 2018: 1747-1751 - [c25]Tetsuo Kosaka, Ikumi Suga, Masashi Inoue:
Improving Voice Activity Detection for Multimodal Movie Dialogue Corpus. GCCE 2018: 481-484 - 2017
- [c24]Takeru Koseki, Tetsuo Kosaka:
Multimodal spoken dialog system using state estimation by body motion. GCCE 2017: 1-4 - 2016
- [c23]Ryu Yasuhara, Masashi Inoue, Ikuya Suga, Tetsuo Kosaka:
Large-scale multimodal movie dialogue corpus. ICMI 2016: 414-415 - 2015
- [c22]Tetsuo Kosaka, Kazuki Kon'no, Masaharu Kato:
Deep neural network-based speech recognition with combination of speaker-class models. APSIPA 2015: 1203-1206 - 2014
- [c21]Akira Takagi, Kazuki Konno, Masaharu Kato, Tetsuo Kosaka:
Unsupervised cross-adaptation using language model and deep learning based acoustic model adaptations. APSIPA 2014: 1-4 - 2013
- [c20]Kazuki Konno, Masaharu Kato, Tetsuo Kosaka:
Speech recognition with large-scale speaker-class-based acoustic modeling. APSIPA 2013: 1-4 - 2010
- [c19]Tetsuo Kosaka, Takashi Ito, Masaharu Katoh, Masaki Kohda:
Speaker adaptation based on system combination using speaker-class models. INTERSPEECH 2010: 546-549 - [c18]Tetsuo Kosaka, Keisuke Goto, Takashi Ito, Masaharu Katoh:
Lecture speech recognition by combining word graphs of various acoustic models. INTERSPEECH 2010: 2978-2981 - 2009
- [c17]Naoki Tadokoro, Tetsuo Kosaka, Masaharu Katoh, Masaki Kohda:
Improvement of Speaker Vector-Based Speaker Verification. IAS 2009: 721-724 - [c16]Tetsuo Kosaka, You Saito, Masaharu Kato:
Noisy speech recognition by using output combination of discrete-mixture HMMs and continuous-mixture HMMs. INTERSPEECH 2009: 2379-2382 - 1998
- [c15]Tetsuo Kosaka, Hiroki Yamamoto, Masayuki Yamada, Yasuhiro Komori:
Instantaneous environment adaptation techniques based on fast PMC and MAP-CMS methods. ICASSP 1998: 789-792 - 1997
- [c14]Hiroki Yamamoto, Tetsuo Kosaka, Masayuki Yamada, Yasuhiro Komori, Minoru Fujita:
Fast speech recognition algorithm under noisy environment using modified CMS-PMC and improved IDMM+SQ. ICASSP 1997: 847-850 - [c13]Yasuhiro Komori, Tetsuo Kosaka, Hiroki Yamamoto, Masayuki Yamada:
Fast parallel model combination noise adaptation processing. EUROSPEECH 1997: 1523-1526 - [c12]Yasuhiro Komori, Tetsuo Kosaka, Masayuki Yamada, Hiroki Yamamoto:
Speaker adaptation for context-dependent HMM using spatial relation of both phoneme context hierarchy and speakers. EUROSPEECH 1997: 2039-2042 - [c11]Masayuki Yamada, Yasuhiro Komori, Tetsuo Kosaka, Hiroki Yamamoto:
Fast algorithm for speech recognition using speaker cluster HMM. EUROSPEECH 1997: 2043-2046 - 1996
- [c10]Hiroki Yamamoto, Masayuki Yamada, Tetsuo Kosaka, Yasuhiro Komori, Yasunori Ohora:
Independent calculation of power parameters on PMC method. ICASSP 1996: 41-44 - [c9]Masayuki Yamada, Hiroki Yamamoto, Tetsuo Kosaka, Yasuhiro Komori, Yasunori Ohora:
Fast output probability computation using scalar quantization and independent dimension multi-mixture. ICASSP 1996: 893-896 - 1995
- [c8]Tetsuo Kosaka, Shoichi Matsunaga, Mikio Kuraoka:
Speaker-independent phone modeling based on speaker-dependent HMMs' composition and clustering. ICASSP 1995: 441-444 - [c7]Masahiro Tonomura, Tetsuo Kosaka, Shoichi Matsunaga:
Speaker adaptation based on transfer vector field smoothing using maximum a posteriori probability estimation. ICASSP 1995: 688-691 - [c6]Shoichi Matsunaga, Tetsuo Kosaka, Tohru Shimizu:
Speaking-style and speaker adaptation for the recognition of spontaneous dialogue speech. EUROSPEECH 1995: 1135-1138 - [c5]Masahiro Tonomura, Tetsuo Kosaka, Shoichi Matsunaga, Akito Monden:
Speaker adaptation fitting training data size and contents. EUROSPEECH 1995: 1147-1150 - 1994
- [c4]Tetsuo Kosaka, Shigeki Sagayama:
Tree-structured speaker clustering for fast speaker adaptation. ICASSP (1) 1994: 245-248 - [c3]Tetsuo Kosaka, Shoichi Matsunaga, Shigeki Sagayama:
Tree-structured speaker clustering for speaker-independent continuous speech recognition. ICSLP 1994: 1375-1378 - 1993
- [c2]Tetsuo Kosaka, Jun-ichi Takami, Shigeki Sagayama:
Rapid speaker adaptation using speaker-mixture allophone models applied to speaker-independent speech recognition. ICASSP (2) 1993: 570-573 - [c1]Tetsuo Kosaka, Edward Willems, Jun-ichi Takami, Shigeki Sagayama:
A dynamic approach to speaker adaptation of hidden Markov networks for speech recognition. EUROSPEECH 1993: 363-366
Parts in Books or Collections
- 2015
- [p1]Taku Jiromaru, Tetsuo Kosaka, Tokuro Matsuo:
Elements of Difficulty Level in Mathematics. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015: 85-97
Coauthor Index
aka: Masaharu Kato
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