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Takashi Nose
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2020 – today
- 2024
- [j25]Xuecheng Niu, Akinori Ito, Takashi Nose:
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning. IEEE Access 12: 46940-46952 (2024) - [j24]Xuecheng Niu, Akinori Ito, Takashi Nose:
A Replaceable Curiosity-Driven Candidate Agent Exploration Approach for Task-Oriented Dialog Policy Learning. IEEE Access 12: 142640-142650 (2024) - [j23]Rui Zhou, Takaki Koshikawa, Akinori Ito, Takashi Nose, Chia-Ping Chen:
Multilingual Meta-Transfer Learning for Low-Resource Speech Recognition. IEEE Access 12: 158493-158504 (2024) - [j22]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) - [c100]Sumiharu Kobayashi, Tetsuo Kosaka, Takashi Nose:
End-to-End Neural Formant Synthesis Using Low-Dimensional Acoustic Parameters. GCCE 2024: 820-823 - [c99]Zikai Shu, Takashi Nose, Akinori Ito:
Toward Photo-Realistic Facial Animation Generation Based on Keypoint Features. ICMLC 2024: 334-339 - [c98]Rui Zhou, Akinori Ito, Takashi Nose:
Character Expressions in Meta-Learning for Extremely Low Resource Language Speech Recognition. ICMLC 2024: 525-529 - [c97]Changlong Wang, Akinori Ito, Takashi Nose, Chia-Ping Chen:
Evaluation of Environmental Sound Classification using Vision Transformer. ICMLC 2024: 665-669 - [i2]Xuecheng Niu, Akinori Ito, Takashi Nose:
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning. CoRR abs/2402.00085 (2024) - 2023
- [c96]Simon Jolibois, Akinori Ito, Takashi Nose:
Multimodal Expressive Embodied Conversational Agent Design. HCI (43) 2023: 244-249 - 2021
- [c95]Daisuke Horii, Akinori Ito, Takashi Nose:
Analysis of Feature Extraction by Convolutional Neural Network for Speech Emotion Recognition. GCCE 2021: 425-426 - [c94]Yoshihiro Yamazaki, Yuya Chiba, Takashi Nose, Akinori Ito:
Neural Spoken-Response Generation Using Prosodic and Linguistic Context for Conversational Systems. Interspeech 2021: 246-250 - [c93]Satsuki Naijo, Akinori Ito, Takashi Nose:
Improvement of Automatic English Pronunciation Assessment with Small Number of Utterances Using Sentence Speakability. Interspeech 2021: 4473-4477 - [c92]Ryota Yahagi, Yuya Chiba, Takashi Nose, Akinori Ito:
Multimodal Dialogue Response Timing Estimation Using Dialogue Context Encoder. IWSDS 2021: 133-141 - 2020
- [j21]Kosuke Nakamura, Takashi Nose, Yuya Chiba, Akinori Ito:
A Symbol-level Melody Completion Based on a Convolutional Neural Network with Generative Adversarial Learning. J. Inf. Process. 28: 248-257 (2020) - [j20]Jiang Fu, Yuya Chiba, Takashi Nose, Akinori Ito:
Automatic assessment of English proficiency for Japanese learners without reference sentences based on deep neural network acoustic models. Speech Commun. 116: 86-97 (2020) - [c91]Rikiya Takahashi, Takashi Nose, Yuya Chiba, Akinori Ito:
Successive Japanese Lyrics Generation Based on Encoder-Decoder Model. GCCE 2020: 126-127 - [c90]Ryota Yahagi, Yuya Chiba, Takashi Nose, Akinori Ito:
Incremental Response Generation Using Prefix-to-Prefix Model for Dialogue System. GCCE 2020: 349-350 - [c89]Satoru Mizuochi, Yuya Chiba, Takashi Nose, Akinori Ito:
Spoken Term Detection Based on Acoustic Models Trained in Multiple Languages for Zero-Resource Language. GCCE 2020: 351-352 - [c88]Satsuki Naijo, Yuya Chiba, Takashi Nose, Akinori Ito:
Analysis and Estimation of Sentence Speakability for English Pronunciation Evaluation. GCCE 2020: 353-355 - [c87]Aoi Kanagaki, Masaya Tanaka, Takashi Nose, Ryohei Shimizu, Akira Ito, Akinori Ito:
CycleGAN-Based High-Quality Non-Parallel Voice Conversion with Spectrogram and WaveRNN. GCCE 2020: 356-357 - [c86]Daisuke Fujimaki, Takashi Nose, Akinori Ito:
Integration of Accent Sandhi and Prosodic Features Estimation for Japanese Text-to-Speech Synthesis. GCCE 2020: 358-359 - [c85]Yoshihiro Yamazaki, Yuya Chiba, Takashi Nose, Akinori Ito:
Filler Prediction Based on Bidirectional LSTM for Generation of Natural Response of Spoken Dialog. GCCE 2020: 360-361 - [c84]Takuma Hayasaka, Takashi Nose, Akinori Ito:
A Study on Minimum Spectral Error Analysis of Speech. GCCE 2020: 362-363 - [c83]Takuto Fujimura, Takashi Nose, Akinori Ito:
LJSing: Large-Scale Singing Voice Corpus of Single Japanese Singer. GCCE 2020: 364-365 - [c82]Shuhei Imai, Takashi Nose, Aoi Kanagaki, Satoshi Watanabe, Akinori Ito:
Improving Pronunciation Clarity of Dysarthric Speech Using CycleGAN with Multiple Speakers. GCCE 2020: 366-367 - [c81]Yuya Chiba, Takashi Nose, Akinori Ito:
Multi-Stream Attention-Based BLSTM with Feature Segmentation for Speech Emotion Recognition. INTERSPEECH 2020: 3301-3305 - [c80]Yoshihiro Yamazaki, Yuya Chiba, Takashi Nose, Akinori Ito:
Construction and Analysis of a Multimodal Chat-talk Corpus for Dialog Systems Considering Interpersonal Closeness. LREC 2020: 443-448
2010 – 2019
- 2019
- [j19]Hafiyan Prafianto, Takashi Nose, Yuya Chiba, Akinori Ito:
Improving human scoring of prosody using parametric speech synthesis. Speech Commun. 111: 14-21 (2019) - [i1]Keita Ishizuka, Takashi Nose:
Developing a Multi-Platform Speech Recording System Toward Open Service of Building Large-Scale Speech Corpora. CoRR abs/1912.09148 (2019) - 2018
- [c79]Shunsuke Tada, Yuya Chiba, Takashi Nose, Akinori Ito:
Effect of Mutual Self-Disclosure in Spoken Dialog System on User Impression. APSIPA 2018: 806-810 - [c78]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 - [c77]Koki Katori, Yukio Nakano, Takao Imanishi, Takashi Nose, Kazutaka Hotta, Hideki Kawarai, Fumiaki Ishida, Tsuyoshi Ueno:
Monitoring System for a Single Aged Person on the Basis of Electricity Use : Performance Improvement by Interpolating Watt Hour Granularity. GCCE 2018: 739-740 - [c76]Yukio Nakano, Takashi Nose, Kazutaka Hotta, Hideki Kawarai, Tsuyoshi Ueno:
Monitoring system for a single aged person on the basis of electricity use - Heatstroke-prevention system. ICCE 2018: 1-3 - [c75]Jiang Fu, Yuya Chiba, Takashi Nose, Akinori Ito:
Evaluation of English Speech Recognition for Japanese Learners Using DNN-Based Acoustic Models. IIH-MSP (2) 2018: 93-100 - [c74]Mai Yamanaka, Yuya Chiba, Takashi Nose, Akinori Ito:
A Study on a Spoken Dialogue System with Cooperative Emotional Speech Synthesis Using Acoustic and Linguistic Information. IIH-MSP (2) 2018: 101-108 - [c73]Takashi Kimura, Takashi Nose, Shinji Hirooka, Yuya Chiba, Akinori Ito:
Comparison of Speech Recognition Performance Between Kaldi and Google Cloud Speech API. IIH-MSP (2) 2018: 109-115 - [c72]Kosuke Nakamura, Takashi Nose, Yuya Chiba, Akinori Ito:
Melody Completion Based on Convolutional Neural Networks and Generative Adversarial Learning. IIH-MSP (2) 2018: 116-123 - [c71]Shinya Hanabusa, Takashi Nose, Akinori Ito:
Segmental Pitch Control Using Speech Input Based on Differential Contexts and Features for Customizable Neural Speech Synthesis. IIH-MSP (2) 2018: 124-131 - [c70]Sou Miyamoto, Takashi Nose, Kazuyuki Hiroshiba, Yuri Odagiri, Akinori Ito:
Two-Stage Sequence-to-Sequence Neural Voice Conversion with Low-to-High Definition Spectrogram Mapping. IIH-MSP (2) 2018: 132-139 - [c69]Hiroto Aoyama, Takashi Nose, Yuya Chiba, Akinori Ito:
Improvement of Accent Sandhi Rules Based on Japanese Accent Dictionaries. IIH-MSP (2) 2018: 140-148 - [c68]Takahiro Furuya, Yuya Chiba, Takashi Nose, Akinori Ito:
Data Collection and Analysis for Automatically Generating Record of Human Behaviors by Environmental Sound Recognition. IIH-MSP (2) 2018: 149-156 - [c67]Toru Ishikawa, Takashi Nose, Akinori Ito:
DNN-Based Talking Movie Generation with Face Direction Consideration. IIH-MSP (2) 2018: 157-164 - [c66]Haoran Wu, Yuya Chiba, Takashi Nose, Akinori Ito:
Analyzing Effect of Physical Expression on English Proficiency for Multimodal Computer-Assisted Language Learning. INTERSPEECH 2018: 1746-1750 - [c65]Yukiko Kageyama, Yuya Chiba, Takashi Nose, Akinori Ito:
Improving User Impression in Spoken Dialog System with Gradual Speech Form Control. SIGDIAL Conference 2018: 235-240 - [c64]Yuya Chiba, Takashi Nose, Taketo Kase, Mai Yamanaka, Akinori Ito:
An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System. SIGDIAL Conference 2018: 371-375 - 2017
- [j18]Yuya Chiba, Takashi Nose, Akinori Ito:
Cluster-based approach to discriminate the user's state whether a user is embarrassed or thinking to an answer to a prompt. J. Multimodal User Interfaces 11(2): 185-196 (2017) - [j17]Tomohiro Nagata, Hiroki Mori, Takashi Nose:
Dimensional paralinguistic information control based on multiple-regression HSMM for spontaneous dialogue speech synthesis with robust parameter estimation. Speech Commun. 88: 137-148 (2017) - [j16]Takashi Nose, Yusuke Arao, Takao Kobayashi, Komei Sugiura, Yoshinori Shiga:
Sentence Selection Based on Extended Entropy Using Phonetic and Prosodic Contexts for Statistical Parametric Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 1107-1116 (2017) - [c63]Yuya Chiba, Takashi Nose, Akinori Ito:
Analysis of efficient multimodal features for estimating user's willingness to talk: Comparison of human-machine and human-human dialog. APSIPA 2017: 428-431 - [c62]Koki Katori, Yukio Nakano, Takashi Nose, Kazutaka Hotta, Hideki Kawarai, Tsuyoshi Ueno:
Monitoring system for a single aged person on the basis of electricity use - Prototype by using smart meter. GCCE 2017: 1-2 - [c61]Yukiko Kageyama, Yuya Chiba, Takashi Nose, Akinori Ito:
Collection of Example Sentences for Non-task-Oriented Dialog Using a Spoken Dialog System and Comparison with Hand-Crafted DB. HCI (29) 2017: 458-464 - [c60]Hayato Mori, Yuya Chiba, Takashi Nose, Akinori Ito:
Dialog-Based Interactive Movie Recommendation: Comparison of Dialog Strategies. IIH-MSP (2) 2017: 77-83 - [c59]Shunsuke Tada, Yuya Chiba, Takashi Nose, Akinori Ito:
Response Selection of Interview-Based Dialog System Using User Focus and Semantic Orientation. IIH-MSP (2) 2017: 84-90 - [c58]Yusuke Yamada, Takashi Nose, Yuya Chiba, Akinori Ito, Takahiro Shinozaki:
Development and Evaluation of Julius-Compatible Interface for Kaldi ASR. IIH-MSP (2) 2017: 91-96 - [c57]Sou Miyamoto, Takashi Nose, Suzunosuke Ito, Harunori Koike, Yuya Chiba, Akinori Ito, Takahiro Shinozaki:
Voice Conversion from Arbitrary Speakers Based on Deep Neural Networks with Adversarial Learning. IIH-MSP (2) 2017: 97-103 - [c56]Kosuke Nakamura, Yuya Chiba, Takashi Nose, Akinori Ito:
Evaluation of Nonlinear Tempo Modification Methods Based on Sinusoidal Modeling. IIH-MSP (2) 2017: 104-111 - [c55]Kazuki Sato, Takashi Nose, Akira Ito, Yuya Chiba, Akinori Ito, Takahiro Shinozaki:
A Study on 2D Photo-Realistic Facial Animation Generation Using 3D Facial Feature Points and Deep Neural Networks. IIH-MSP (2) 2017: 112-118 - [c54]Isao Miyagawa, Yuya Chiba, Takashi Nose, Akinori Ito:
Detection of Singing Mistakes from Singing Voice. IIH-MSP (2) 2017: 130-136 - 2016
- [j15]Takashi Nose:
Efficient Implementation of Global Variance Compensation for Parametric Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 24(10): 1694-1704 (2016) - 2015
- [j14]Takashi Nose, Misa Kanemoto, Tomoki Koriyama, Takao Kobayashi:
HMM-based expressive singing voice synthesis with singing style control and robust pitch modeling. Comput. Speech Lang. 34(1): 308-322 (2015) - [c53]Taketo Kase, Takashi Nose, Akinori Ito:
On Appropriateness and Estimation of the Emotion of Synthesized Response Speech in a Spoken Dialogue System. HCI (27) 2015: 747-752 - [c52]Tsukasa Nishino, Takashi Nose, Akinori Ito:
Tempo Modification of Mixed Music Signal by Nonlinear Time Scaling and Sinusoidal Modeling. IIH-MSP 2015: 146-149 - [c51]Yuki Saito, Takashi Nose, Takahiro Shinozaki, Akinori Ito:
Conversion of Speaker's Face Image Using PCA and Animation Unit for Video Chatting. IIH-MSP 2015: 433-436 - [c50]Takashi Nose, Yusuke Arao, Takao Kobayashi, Komei Sugiura, Yoshinori Shiga, Akinori Ito:
Entropy-based sentence selection for speech synthesis using phonetic and prosodic contexts. INTERSPEECH 2015: 3491-3495 - 2014
- [j13]Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
Statistical Parametric Speech Synthesis Based on Gaussian Process Regression. IEEE J. Sel. Top. Signal Process. 8(2): 173-183 (2014) - [j12]Takashi Nose, Vataya Chunwijitra, Takao Kobayashi:
A Parameter Generation Algorithm Using Local Variance for HMM-Based Speech Synthesis. IEEE J. Sel. Top. Signal Process. 8(2): 221-228 (2014) - [j11]Yu Maeno, Takashi Nose, Takao Kobayashi, Tomoki Koriyama, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka:
Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis. Speech Commun. 57: 144-154 (2014) - [c49]Kohei Machida, Takashi Nose, Akinori Ito:
Speech recognition in a home environment using parallel decoding with GMM-based noise modeling. APSIPA 2014: 1-4 - [c48]Naoto Suzuki, Takashi Nose, Yutaka Hiroi, Akinori Ito:
Controlling Switching Pause Using an AR Agent for Interactive CALL System. HCI (27) 2014: 588-593 - [c47]Hafiyan Prafianto, Takashi Nose, Yuya Chiba, Akinori Ito, Kazuyuki Sato:
A study on the effect of speech rate on perception of spoken easy Japanese using speech synthesis. ICAILP 2014: 476-479 - [c46]Masahito Okamoto, Takashi Nose, Akinori Ito, Takeshi Nagano:
Subjective evaluation of packet loss recovery techniques for voice over IP. ICAILP 2014: 711-714 - [c45]Noriko Totsuka, Yuya Chiba, Takashi Nose, Akinori Ito:
Robot: Have I done something wrong? - Analysis of prosodic features of speech commands under the robot's unintended behavior. ICAILP 2014: 887-890 - [c44]Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
Parametric speech synthesis based on Gaussian process regression using global variance and hyperparameter optimization. ICASSP 2014: 3834-3838 - [c43]Kazumichi Yoshida, Takashi Nose, Akinori Ito:
Analysis of English Pronunciation of Singing Voices Sung by Japanese Speakers. IIH-MSP 2014: 554-557 - [c42]Takashi Nose, Takao Kobayashi:
Quantized F0 Context and Its Applications to Speech Synthesis, Speech Coding, and Voice Conversion. IIH-MSP 2014: 578-581 - [c41]Daiki Nagahama, Takashi Nose, Tomoki Koriyama, Takao Kobayashi:
Transform mapping using shared decision tree context clustering for HMM-based cross-lingual speech synthesis. INTERSPEECH 2014: 770-774 - [c40]Tomoki Koriyama, Hiroshi Suzuki, Takashi Nose, Takahiro Shinozaki, Takao Kobayashi:
Accent type and phrase boundary estimation using acoustic and language models for automatic prosodic labeling. INTERSPEECH 2014: 2337-2341 - [c39]Takashi Nose, Akinori Ito:
Analysis of spectral enhancement using global variance in HMM-based speech synthesis. INTERSPEECH 2014: 2917-2921 - [c38]Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
Parametric speech synthesis using local and global sparse Gaussian processes. MLSP 2014: 1-6 - [c37]Yuya Chiba, Masashi Ito, Takashi Nose, Akinori Ito:
User Modeling by Using Bag-of-Behaviors for Building a Dialog System Sensitive to the Interlocutor's Internal State. SIGDIAL Conference 2014: 74-78 - 2013
- [j10]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 Commun. 55(2): 347-357 (2013) - [c36]Yu Maeno, Takashi Nose, Takao Kobayashi, Tomoki Koriyama, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka:
HMM-based expressive speech synthesis based on phrase-level F0 context labeling. ICASSP 2013: 7859-7863 - [c35]Hiroki Kanagawa, Takashi Nose, Takao Kobayashi:
Speaker-independent style conversion for HMM-based expressive speech synthesis. ICASSP 2013: 7864-7868 - [c34]Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
Frame-level acoustic modeling based on Gaussian process regression for statistical nonparametric speech synthesis. ICASSP 2013: 8007-8011 - [c33]Takashi Nose, Misa Kanemoto, Tomoki Koriyama, Takao Kobayashi:
A style control technique for singing voice synthesis based on multiple-regression HSMM. INTERSPEECH 2013: 378-382 - [c32]Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
Statistical nonparametric speech synthesis using sparse Gaussian processes. INTERSPEECH 2013: 1072-1076 - [c31]Tomohiro Nagata, Hiroki Mori, Takashi Nose:
Robust estimation of multiple-regression HMM parameters for dimension-based expressive dialogue speech synthesis. INTERSPEECH 2013: 1549-1553 - 2012
- [j9]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 Commun. 54(2): 245-255 (2012) - [j8]Takashi Nose, Takao Kobayashi:
Very low bit-rate F0 coding for phonetic vocoders using MSD-HMM with quantized F0 symbols. Speech Commun. 54(3): 384-392 (2012) - [c30]Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
An F0 modeling technique based on prosodic events for spontaneous speech synthesis. ICASSP 2012: 4589-4592 - [c29]Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
Discontinuous Observation HMM for Prosodic-Event-Based F0 Generation. INTERSPEECH 2012: 462-465 - [c28]Vataya Chunwijitra, Takashi Nose, Takao Kobayashi:
A speech parameter generation algorithm using local variance for HMM-based speech synthesis. INTERSPEECH 2012: 1151-1154 - 2011
- [j7]Takashi Nose, Takao Kobayashi:
Speaker-independent HMM-based voice conversion using adaptive quantization of the fundamental frequency. Speech Commun. 53(7): 973-985 (2011) - [c27]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 - [c26]Takashi Nose, Takao Kobayashi:
Very low bit-rate F0 coding for phonetic vocoder using MSD-HMM with quantized F0 context. ICASSP 2011: 5236-5239 - [c25]Takashi Nose, Takao Kobayashi:
A Perceptual Expressivity Modeling Technique for Speech Synthesis Based on Multiple-Regression HSMM. INTERSPEECH 2011: 109-112 - [c24]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 - [c23]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 - [c22]Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
On the Use of Extended Context for HMM-Based Spontaneous Conversational Speech Synthesis. INTERSPEECH 2011: 2657-2660 - 2010
- [j6]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 Trans. Inf. Syst. 93-D(1): 107-115 (2010) - [j5]Takashi Nose, Takao Kobayashi:
A Technique for Estimating Intensity of Emotional Expressions and Speaking Styles in Speech Based on Multiple-Regression HSMM. IEICE Trans. Inf. Syst. 93-D(1): 116-124 (2010) - [j4]Takashi Nose, Yuhei Ota, Takao Kobayashi:
HMM-Based Voice Conversion Using Quantized F0 Context. IEICE Trans. Inf. Syst. 93-D(9): 2483-2490 (2010) - [c21]Mikio Nakano, Naoto Iwahashi, Takayuki Nagai, Taisuke Sumii, Xiang Zuo, Ryo Taguchi, Takashi Nose, Akira Mizutani, Tomoaki Nakamura, Muhanmad Attamim, Hiromi Narimatsu, Kotaro Funakoshi, Yuji Hasegawa:
Grounding New Words on the Physical World in Multi-Domain Human-Robot Dialogues. AAAI Fall Symposium: Dialog with Robots 2010 - [c20]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 - [c19]Shuji Yokomizo, Takashi Nose, Takao Kobayashi:
Evaluation of prosodic contextual factors for HMM-based speech synthesis. INTERSPEECH 2010: 430-433 - [c18]Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
Conversational spontaneous speech synthesis using average voice model. INTERSPEECH 2010: 853-856 - [c17]Takashi Nose, Takao Kobayashi:
Speaker-independent HMM-based voice conversion using quantized fundamental frequency. INTERSPEECH 2010: 1724-1727 - [c16]Takashi Nose, Takao Kobayashi:
HMM-based robust voice conversion using adaptive F0 quantization. SSW 2010: 80-85
2000 – 2009
- 2009
- [j3]Takashi Nose, Makoto Tachibana, Takao Kobayashi:
HMM-Based Style Control for Expressive Speech Synthesis with Arbitrary Speaker's Voice Using Model Adaptation. IEICE Trans. Inf. Syst. 92-D(3): 489-497 (2009) - [j2]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 Trans. Speech Audio Process. 17(6): 1208-1230 (2009) - [c15]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 - [c14]Yusuke Ijima, Takeshi Matsubara, Takashi Nose, Takao Kobayashi:
Speaking style adaptation for spontaneous speech recognition using multiple-regression HMM. INTERSPEECH 2009: 552-555 - [c13]Takashi Nose, Junichi Adada, Takao Kobayashi:
HMM-based speaker characteristics emphasis using average voice model. INTERSPEECH 2009: 2631-2634 - [c12]Ryo Taguchi, Naoto Iwahashi, Takashi Nose, Kotaro Funakoshi, Mikio Nakano:
Learning lexicons from spoken utterances based on statistical model selection. INTERSPEECH 2009: 2731-2734 - 2008
- [c11]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 - [c10]