Rapid speaker adaptation using speaker-mixture allophone models applied to speaker-independent speech recognition. - Tetsuo Kosaka; Jun-ichi Takami; Shigeki Sagayama (ICASSP (2), 1993)

A dynamic approach to speaker adaptation of hidden Markov networks for speech recognition. - Tetsuo Kosaka; Edward Willems; Jun-ichi Takami; Shigeki Sagayama (EUROSPEECH, 1993)

Tree-structured speaker clustering for fast speaker adaptation. - Tetsuo Kosaka; Shigeki Sagayama (ICASSP (1), 1994)

Tree-structured speaker clustering for speaker-independent continuous speech recognition. - Tetsuo Kosaka; Shoichi Matsunaga; Shigeki Sagayama (ICSLP, 1994)

Speaker-independent phone modeling based on speaker-dependent HMMs' composition and clustering. - Tetsuo Kosaka; Shoichi Matsunaga; Mikio Kuraoka (ICASSP, 1995)

Speaking-style and speaker adaptation for the recognition of spontaneous dialogue speech. - Shoichi Matsunaga; Tetsuo Kosaka; Tohru Shimizu (EUROSPEECH, 1995)

Speaker adaptation fitting training data size and contents. - Masahiro Tonomura; Tetsuo Kosaka; Shoichi Matsunaga; Akito Monden (EUROSPEECH, 1995)

Automatic Determination of the Number of Mixture Components for Continuous HMMs Based a Uniform Variance Criterion. - Tetsuo Kosaka; Shigeki Sagayama (IEICE Trans. Inf. Syst., 1995)

Fast output probability computation using scalar quantization and independent dimension multi-mixture. - Masayuki Yamada; Hiroki Yamamoto; Tetsuo Kosaka; Yasuhiro Komori; Yasunori Ohora (ICASSP, 1996)

Independent calculation of power parameters on PMC method. - Hiroki Yamamoto; Masayuki Yamada; Tetsuo Kosaka; Yasuhiro Komori; Yasunori Ohora (ICASSP, 1996)

Speaker-independent speech recognition based on tree-structured speaker clustering. - Tetsuo Kosaka; Shoichi Matsunaga; Shigeki Sagayama (Comput. Speech Lang., 1996)

Speaker adaptation based on transfer vector field smoothing using maximum a posteriori probability estimation. - Masahiro Tonomura; Tetsuo Kosaka; Shoichi Matsunaga (Comput. Speech Lang., 1996)

Fast speech recognition algorithm under noisy environment using modified CMS-PMC and improved IDMM+SQ. - Hiroki Yamamoto; Tetsuo Kosaka; Masayuki Yamada; Yasuhiro Komori; Minoru Fujita (ICASSP, 1997)

Fast parallel model combination noise adaptation processing. - Yasuhiro Komori; Tetsuo Kosaka; Hiroki Yamamoto; Masayuki Yamada (EUROSPEECH, 1997)

Speaker adaptation for context-dependent HMM using spatial relation of both phoneme context hierarchy and speakers. - Yasuhiro Komori; Tetsuo Kosaka; Masayuki Yamada; Hiroki Yamamoto (EUROSPEECH, 1997)

Fast algorithm for speech recognition using speaker cluster HMM. - Masayuki Yamada; Yasuhiro Komori; Tetsuo Kosaka; Hiroki Yamamoto (EUROSPEECH, 1997)

Instantaneous environment adaptation techniques based on fast PMC and MAP-CMS methods. - Tetsuo Kosaka; Hiroki Yamamoto; Masayuki Yamada; Yasuhiro Komori (ICASSP, 1998)

Speaker adaptation using maximum a posteriori probability estimation with data size-dependent parameter smoothing. - Masahiro Tonomura; Tetsuo Kosaka; Shoichi Matsunaga (Syst. Comput. Jpn., 1999)

Robust Speech Recognition Using Discrete-Mixture HMMs. - Tetsuo Kosaka; Masaharu Katoh; Masaki Kohda (IEICE Trans. Inf. Syst., 2005)

Improvement of Speaker Vector-Based Speaker Verification. - Naoki Tadokoro; Tetsuo Kosaka; Masaharu Katoh; Masaki Kohda (IAS, 2009)

Noisy speech recognition by using output combination of discrete-mixture HMMs and continuous-mixture HMMs. - Tetsuo Kosaka; You Saito; Masaharu Kato (INTERSPEECH, 2009)

Dictation of Japanese Speech Based on Kana and Kanji Character String. - Akinori Ito; Hiroaki Kinno; Masaharu Katoh; Tetsuo Kosaka; Masaki Kohda (Int. J. Comput. Process. Orient. Lang., 2009)

Lecture speech recognition by combining word graphs of various acoustic models. - Tetsuo Kosaka; Keisuke Goto 003; Takashi Ito; Masaharu Katoh (INTERSPEECH, 2010)

Speaker adaptation based on system combination using speaker-class models. - Tetsuo Kosaka; Takashi Ito; Masaharu Katoh; Masaki Kohda (INTERSPEECH, 2010)

Unsupervised Speaker Adaptation Using Speaker-Class Models for Lecture Speech Recognition. - Tetsuo Kosaka; Yuui Takeda; Takashi Ito; Masaharu Katoh; Masaki Kohda (IEICE Trans. Inf. Syst., 2010)

Speech recognition with large-scale speaker-class-based acoustic modeling. - Kazuki Konno; Masaharu Kato; Tetsuo Kosaka (APSIPA, 2013)

Unsupervised cross-adaptation using language model and deep learning based acoustic model adaptations. - Akira Takagi; Kazuki Konno; Masaharu Kato; Tetsuo Kosaka (APSIPA, 2014)

Deep neural network-based speech recognition with combination of speaker-class models. - Tetsuo Kosaka; Kazuki Kon'no; Masaharu Kato (APSIPA, 2015)

Elements of Difficulty Level in Mathematics. - Taku Jiromaru; Tetsuo Kosaka; Tokuro Matsuo (Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2015)

Large-scale multimodal movie dialogue corpus. - Ryu Yasuhara; Masashi Inoue; Ikuya Suga; Tetsuo Kosaka (ICMI, 2016)

Multimodal spoken dialog system using state estimation by body motion. - Takeru Koseki; Tetsuo Kosaka (GCCE, 2017)

Acoustic Model Adaptation for Emotional Speech Recognition Using Twitter-Based Emotional Speech Corpus. - Tetsuo Kosaka; Yoshitaka Aizawa; Masaharu Kato; Takashi Nose (APSIPA, 2018)

Improving Voice Activity Detection for Multimodal Movie Dialogue Corpus. - Tetsuo Kosaka; Ikumi Suga; Masashi Inoue (GCCE, 2018)

Performance Improvement of Prosody-ContRolled Voice Conversion by Language Model Adaptation. - Kazuya Saeki; Masaharu Kato; Tetsuo Kosaka (GCCE, 2019)

Language Model Adaptation for Emotional Speech Recognition using Tweet data. - Kazuya Saeki; Masaharu Kato; Tetsuo Kosaka (APSIPA, 2020)

Emotion Recognition Combining Acoustic and Linguistic Features Based on Speech Recognition Results. - Misaki Sakurai; Tetsuo Kosaka (GCCE, 2021)

Speech Emotion Recognition by Late Fusion of Linguistic and Acoustic Features using Deep Learning Models. - Kiyohide Sato; Keita Kishi; Tetsuo Kosaka (APSIPA ASC, 2023)

Speech Emotion Recognition Based on Linguistic Features of Spoken Language. - Keita Kishi; Kiyohide Sato; Tetsuo Kosaka (GCCE, 2024)

End-to-End Neural Formant Synthesis Using Low-Dimensional Acoustic Parameters. - Sumiharu Kobayashi; Tetsuo Kosaka; Takashi Nose (GCCE, 2024)

Simultaneous Adaptation of Acoustic and Language Models for Emotional Speech Recognition Using Tweet Data. - Tetsuo Kosaka; Kazuya Saeki; Yoshitaka Aizawa; Masaharu Kato; Takashi Nose (IEICE Trans. Inf. Syst., 2024)