Takashi Nose

Takashi Nose, Takao Kobayashi: An intuitive style control technique in HMM-based expressive speech synthesis using subjective style intensity and multiple-regression global variance model. Speech Communication 55(2): 347-357 (2013)

Vataya Chunwijitra, Takashi Nose, Takao Kobayashi: A tone-modeling technique using a quantized F0 context to improve tone correctness in average-voice-based speech synthesis. Speech Communication 54(2): 245-255 (2012)

Takashi Nose, Takao Kobayashi: Very low bit-rate F0 coding for phonetic vocoders using MSD-HMM with quantized F0 symbols. Speech Communication 54(3): 384-392 (2012)

Tomoki Koriyama, Takashi Nose, Takao Kobayashi: An F0 modeling technique based on prosodic events for spontaneous speech synthesis. ICASSP 2012: 4589-4592

Vataya Chunwijitra, Takashi Nose, Takao Kobayashi: A speech parameter generation algorithm using local variance for HMM-based speech synthesis. INTERSPEECH 2012

Tomoki Koriyama, Takashi Nose, Takao Kobayashi: Discontinuous Observation HMM for Prosodic-Event-Based F0 Generation. INTERSPEECH 2012

Takashi Nose, Takao Kobayashi: Speaker-independent HMM-based voice conversion using adaptive quantization of the fundamental frequency. Speech Communication 53(7): 973-985 (2011)

Vataya Chunwijitra, Takashi Nose, Takao Kobayashi: Tonal context labeling using quantized F0 symbols for improving tone correctness in average-voice-based speech synthesis. ICASSP 2011: 4708-4711

Takashi Nose, Takao Kobayashi: Very low bit-rate F0 coding for phonetic vocoder using MSD-HMM with quantized F0 context. ICASSP 2011: 5236-5239

Takashi Nose, Takao Kobayashi: A Perceptual Expressivity Modeling Technique for Speech Synthesis Based on Multiple-Regression HSMM. INTERSPEECH 2011: 109-112

Yu Maeno, Takashi Nose, Takao Kobayashi, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka: HMM-Based Emphatic Speech Synthesis Using Unsupervised Context Labeling. INTERSPEECH 2011: 1849-1852

Tatsuhiko Saito, Takashi Nose, Takao Kobayashi, Yohei Okato, Akio Horii: Performance Prediction of Speech Recognition Using Average-Voice-Based Speech Synthesis. INTERSPEECH 2011: 1953-1956

Tomoki Koriyama, Takashi Nose, Takao Kobayashi: On the Use of Extended Context for HMM-Based Spontaneous Conversational Speech Synthesis. INTERSPEECH 2011: 2657-2660

Yusuke Ijima, Takashi Nose, Makoto Tachibana, Takao Kobayashi: A Rapid Model Adaptation Technique for Emotional Speech Recognition with Style Estimation Based on Multiple-Regression HMM. IEICE Transactions 93-D(1): 107-115 (2010)

Takashi Nose, Takao Kobayashi: A Technique for Estimating Intensity of Emotional Expressions and Speaking Styles in Speech Based on Multiple-Regression HSMM. IEICE Transactions 93-D(1): 116-124 (2010)

Takashi Nose, Yuhei Ota, Takao Kobayashi: HMM-Based Voice Conversion Using Quantized F0 Context. IEICE Transactions 93-D(9): 2483-2490 (2010)

Takashi Nose, Koujirou Ooki, Takao Kobayashi: HMM-based speech synthesis with unsupervised labeling of accentual context based on F0 quantization and average voice model. ICASSP 2010: 4622-4625

Shuji Yokomizo, Takashi Nose, Takao Kobayashi: Evaluation of prosodic contextual factors for HMM-based speech synthesis. INTERSPEECH 2010: 430-433

Tomoki Koriyama, Takashi Nose, Takao Kobayashi: Conversational spontaneous speech synthesis using average voice model. INTERSPEECH 2010: 853-856

Takashi Nose, Takao Kobayashi: Speaker-independent HMM-based voice conversion using quantized fundamental frequency. INTERSPEECH 2010: 1724-1727

Takashi Nose, Makoto Tachibana, Takao Kobayashi: HMM-Based Style Control for Expressive Speech Synthesis with Arbitrary Speaker's Voice Using Model Adaptation. IEICE Transactions 92-D(3): 489-497 (2009)

Junichi Yamagishi, Takashi Nose, Heiga Zen, Zhen-Hua Ling, Tomoki Toda, Keiichi Tokuda, Simon King, Steve Renals: Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis. IEEE Transactions on Audio, Speech & Language Processing 17(6): 1208-1230 (2009)

Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi: Emotional speech recognition based on style estimation and adaptation with multiple-regression HMM. ICASSP 2009: 4157-4160

Yusuke Ijima, Takeshi Matsubara, Takashi Nose, Takao Kobayashi: Speaking style adaptation for spontaneous speech recognition using multiple-regression HMM. INTERSPEECH 2009: 552-555

Takashi Nose, Junichi Adada, Takao Kobayashi: HMM-based speaker characteristics emphasis using average voice model. INTERSPEECH 2009: 2631-2634

Ryo Taguchi, Naoto Iwahashi, Takashi Nose, Kotaro Funakoshi, Mikio Nakano: Learning lexicons from spoken utterances based on statistical model selection. INTERSPEECH 2009: 2731-2734

Junichi Yamagishi, Takashi Nose, Heiga Zen, Tomoki Toda, Keiichi Tokuda: Performance evaluation of the speaker-independent HMM-based speech synthesis system "HTS 2007" for the Blizzard Challenge 2007. ICASSP 2008: 3957-3960

Makoto Tachibana, Shinsuke Izawa, Takashi Nose, Tetsunori Kobayashi: Speaker and style adaptation using average voice model for style control in HMM-based speech synthesis. ICASSP 2008: 4633-4636

Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi: An on-line adaptation technique for emotional speech recognition using style estimation with multiple-regression HMM. INTERSPEECH 2008: 1297-1300

Takashi Nose, Yoichi Kato, Makoto Tachibana, Takao Kobayashi: An estimation technique of style expressiveness for emotional speech using model adaptation based on multiple-regression HSMM. INTERSPEECH 2008: 2759-2762

Takashi Nose, Junichi Yamagishi, Takashi Masuko, Takao Kobayashi: A Style Control Technique for HMM-Based Expressive Speech Synthesis. IEICE Transactions 90-D(9): 1406-1413 (2007)

Takashi Nose, Yoichi Kato, Takao Kobayashi: Style estimation of speech based on multiple regression hidden semi-Markov model. INTERSPEECH 2007: 2285-2288

Takashi Nose, Junichi Yamagishi, Takao Kobayashi: A style control technique for speech synthesis using multiple regression HSMM. INTERSPEECH 2006

Makoto Tachibana, Takashi Nose, Junichi Yamagishi, Takao Kobayashi: A technique for controlling voice quality of synthetic speech using multiple regression HSMM. INTERSPEECH 2006