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Akinori Ito
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Publications
- 2025
- [j51]Changlong Wang
, Akinori Ito
Adaptive Depth-Wise Pruning for Efficient Environmental Sound Classification. IEEE Access 13: 69751-69759 (2025) - [j50]Changlong Wang
Adaptive Fine-Grained Pruning via Binary Search for Efficient Environmental Sound Classification. IEEE Access 13: 173201-173208 (2025) - 2024
- [j49]Xuecheng Niu
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning. IEEE Access 12: 46940-46952 (2024) - [j48]Xuecheng Niu
A Replaceable Curiosity-Driven Candidate Agent Exploration Approach for Task-Oriented Dialog Policy Learning. IEEE Access 12: 142640-142650 (2024) - [j47]Rui Zhou
Multilingual Meta-Transfer Learning for Low-Resource Speech Recognition. IEEE Access 12: 158493-158504 (2024) - [c148]Rui Zhou, Akinori Ito
Improving Speaker Consistency in Speech-to-Speech Translation Using Speaker Retention Unit-to-Mel Techniques. APSIPA 2024: 1-6 - [c147]Zikai Shu
Toward Photo-Realistic Facial Animation Generation Based on Keypoint Features. ICMLC 2024: 334-339 - [c146]Rui Zhou
Character Expressions in Meta-Learning for Extremely Low Resource Language Speech Recognition. ICMLC 2024: 525-529 - [c145]Changlong Wang
Evaluation of Environmental Sound Classification using Vision Transformer. ICMLC 2024: 665-669 - [c144]Tomoki Fujihara
Estimation of Offensiveness of Posts on Social Media and Its Application to a Conversation Assistance System. NLPIR 2024: 369-373 - [i3]Xuecheng Niu, Akinori Ito, Takashi Nose
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning. CoRR abs/2402.00085 (2024) - [i1]Rui Zhou, Akinori Ito, Takashi Nose:
Preserving Speaker Information in Direct Speech-to-Speech Translation with Non-Autoregressive Generation and Pretraining. CoRR abs/2412.07316 (2024) - 2023
- [c143]Simon Jolibois, Akinori Ito, Takashi Nose
Multimodal Expressive Embodied Conversational Agent Design. HCI (43) 2023: 244-249 - 2021
- [c139]Daisuke Horii, Akinori Ito, Takashi Nose
Analysis of Feature Extraction by Convolutional Neural Network for Speech Emotion Recognition. GCCE 2021: 425-426 - [c138]Yoshihiro Yamazaki, Yuya Chiba, Takashi Nose
Neural Spoken-Response Generation Using Prosodic and Linguistic Context for Conversational Systems. Interspeech 2021: 246-250 - [c137]Satsuki Naijo, Akinori Ito, Takashi Nose
Improvement of Automatic English Pronunciation Assessment with Small Number of Utterances Using Sentence Speakability. Interspeech 2021: 4473-4477 - [c136]Ryota Yahagi, Yuya Chiba, Takashi Nose
Multimodal Dialogue Response Timing Estimation Using Dialogue Context Encoder. IWSDS 2021: 133-141 - 2020
- [j44]Kosuke Nakamura, Takashi Nose
A Symbol-level Melody Completion Based on a Convolutional Neural Network with Generative Adversarial Learning. J. Inf. Process. 28: 248-257 (2020) - [j43]Jiang Fu, Yuya Chiba, Takashi Nose
Automatic assessment of English proficiency for Japanese learners without reference sentences based on deep neural network acoustic models. Speech Commun. 116: 86-97 (2020) - [c134]Rikiya Takahashi, Takashi Nose
Successive Japanese Lyrics Generation Based on Encoder-Decoder Model. GCCE 2020: 126-127 - [c133]Ryota Yahagi, Yuya Chiba, Takashi Nose
Incremental Response Generation Using Prefix-to-Prefix Model for Dialogue System. GCCE 2020: 349-350 - [c132]Satoru Mizuochi, Yuya Chiba, Takashi Nose
Spoken Term Detection Based on Acoustic Models Trained in Multiple Languages for Zero-Resource Language. GCCE 2020: 351-352 - [c131]Satsuki Naijo, Yuya Chiba, Takashi Nose
Analysis and Estimation of Sentence Speakability for English Pronunciation Evaluation. GCCE 2020: 353-355 - [c130]Aoi Kanagaki, Masaya Tanaka, Takashi Nose
CycleGAN-Based High-Quality Non-Parallel Voice Conversion with Spectrogram and WaveRNN. GCCE 2020: 356-357 - [c129]Daisuke Fujimaki, Takashi Nose
Integration of Accent Sandhi and Prosodic Features Estimation for Japanese Text-to-Speech Synthesis. GCCE 2020: 358-359 - [c128]Yoshihiro Yamazaki, Yuya Chiba, Takashi Nose
Filler Prediction Based on Bidirectional LSTM for Generation of Natural Response of Spoken Dialog. GCCE 2020: 360-361 - [c127]Takuma Hayasaka, Takashi Nose
A Study on Minimum Spectral Error Analysis of Speech. GCCE 2020: 362-363 - [c126]Takuto Fujimura, Takashi Nose
LJSing: Large-Scale Singing Voice Corpus of Single Japanese Singer. GCCE 2020: 364-365 - [c125]Shuhei Imai, Takashi Nose
Improving Pronunciation Clarity of Dysarthric Speech Using CycleGAN with Multiple Speakers. GCCE 2020: 366-367 - [c124]Yuya Chiba, Takashi Nose
Multi-Stream Attention-Based BLSTM with Feature Segmentation for Speech Emotion Recognition. INTERSPEECH 2020: 3301-3305 - [c123]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 - 2019
- [j39]Hafiyan Prafianto, Takashi Nose
Improving human scoring of prosody using parametric speech synthesis. Speech Commun. 111: 14-21 (2019) - 2018
- [c121]Shunsuke Tada, Yuya Chiba, Takashi Nose
Effect of Mutual Self-Disclosure in Spoken Dialog System on User Impression. APSIPA 2018: 806-810 - [c117]Jiang Fu, Yuya Chiba, Takashi Nose
Evaluation of English Speech Recognition for Japanese Learners Using DNN-Based Acoustic Models. IIH-MSP (2) 2018: 93-100 - [c116]Mai Yamanaka, Yuya Chiba, Takashi Nose
A Study on a Spoken Dialogue System with Cooperative Emotional Speech Synthesis Using Acoustic and Linguistic Information. IIH-MSP (2) 2018: 101-108 - [c115]Takashi Kimura, Takashi Nose
Comparison of Speech Recognition Performance Between Kaldi and Google Cloud Speech API. IIH-MSP (2) 2018: 109-115 - [c114]Kosuke Nakamura, Takashi Nose
Melody Completion Based on Convolutional Neural Networks and Generative Adversarial Learning. IIH-MSP (2) 2018: 116-123 - [c113]Shinya Hanabusa, Takashi Nose
Segmental Pitch Control Using Speech Input Based on Differential Contexts and Features for Customizable Neural Speech Synthesis. IIH-MSP (2) 2018: 124-131 - [c112]Sou Miyamoto, Takashi Nose
Two-Stage Sequence-to-Sequence Neural Voice Conversion with Low-to-High Definition Spectrogram Mapping. IIH-MSP (2) 2018: 132-139 - [c111]Hiroto Aoyama, Takashi Nose
Improvement of Accent Sandhi Rules Based on Japanese Accent Dictionaries. IIH-MSP (2) 2018: 140-148 - [c110]Takahiro Furuya, Yuya Chiba, Takashi Nose
Data Collection and Analysis for Automatically Generating Record of Human Behaviors by Environmental Sound Recognition. IIH-MSP (2) 2018: 149-156 - [c109]Toru Ishikawa, Takashi Nose
DNN-Based Talking Movie Generation with Face Direction Consideration. IIH-MSP (2) 2018: 157-164 - [c108]Haoran Wu, Yuya Chiba, Takashi Nose
Analyzing Effect of Physical Expression on English Proficiency for Multimodal Computer-Assisted Language Learning. INTERSPEECH 2018: 1746-1750 - [c107]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 - [c106]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
- [j32]Yuya Chiba, Takashi Nose
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) - [c105]Yuya Chiba, Takashi Nose
Analysis of efficient multimodal features for estimating user's willingness to talk: Comparison of human-machine and human-human dialog. APSIPA 2017: 428-431 - [c104]Yukiko Kageyama, Yuya Chiba, Takashi Nose
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 - [c103]Hayato Mori, Yuya Chiba, Takashi Nose
Dialog-Based Interactive Movie Recommendation: Comparison of Dialog Strategies. IIH-MSP (2) 2017: 77-83 - [c102]Shunsuke Tada, Yuya Chiba, Takashi Nose
Response Selection of Interview-Based Dialog System Using User Focus and Semantic Orientation. IIH-MSP (2) 2017: 84-90 - [c101]Yusuke Yamada, Takashi Nose
Development and Evaluation of Julius-Compatible Interface for Kaldi ASR. IIH-MSP (2) 2017: 91-96 - [c100]Sou Miyamoto, Takashi Nose
Voice Conversion from Arbitrary Speakers Based on Deep Neural Networks with Adversarial Learning. IIH-MSP (2) 2017: 97-103 - [c99]Kosuke Nakamura, Yuya Chiba, Takashi Nose
Evaluation of Nonlinear Tempo Modification Methods Based on Sinusoidal Modeling. IIH-MSP (2) 2017: 104-111 - [c98]Kazuki Sato, Takashi Nose
A Study on 2D Photo-Realistic Facial Animation Generation Using 3D Facial Feature Points and Deep Neural Networks. IIH-MSP (2) 2017: 112-118 - [c97]Isao Miyagawa, Yuya Chiba, Takashi Nose
Detection of Singing Mistakes from Singing Voice. IIH-MSP (2) 2017: 130-136 - 2015
- [c91]Taketo Kase, Takashi Nose
On Appropriateness and Estimation of the Emotion of Synthesized Response Speech in a Spoken Dialogue System. HCI (27) 2015: 747-752 - [c89]Tsukasa Nishino, Takashi Nose
Tempo Modification of Mixed Music Signal by Nonlinear Time Scaling and Sinusoidal Modeling. IIH-MSP 2015: 146-149 - [c88]Yuki Saito, Takashi Nose
Conversion of Speaker's Face Image Using PCA and Animation Unit for Video Chatting. IIH-MSP 2015: 433-436 - [c85]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
- [c81]Kohei Machida, Takashi Nose
Speech recognition in a home environment using parallel decoding with GMM-based noise modeling. APSIPA 2014: 1-4 - [c80]Naoto Suzuki, Takashi Nose
Controlling Switching Pause Using an AR Agent for Interactive CALL System. HCI (27) 2014: 588-593 - [c79]Hafiyan Prafianto, Takashi Nose
A study on the effect of speech rate on perception of spoken easy Japanese using speech synthesis. ICAILP 2014: 476-479 - [c78]Masahito Okamoto, Takashi Nose
Subjective evaluation of packet loss recovery techniques for voice over IP. ICAILP 2014: 711-714 - [c77]Noriko Totsuka, Yuya Chiba, Takashi Nose
Robot: Have I done something wrong? - Analysis of prosodic features of speech commands under the robot's unintended behavior. ICAILP 2014: 887-890 - [c76]Kazumichi Yoshida, Takashi Nose
Analysis of English Pronunciation of Singing Voices Sung by Japanese Speakers. IIH-MSP 2014: 554-557 - [c74]Takashi Nose, Akinori Ito:
Analysis of spectral enhancement using global variance in HMM-based speech synthesis. INTERSPEECH 2014: 2917-2921 - [c73]Yuya Chiba, Masashi Ito, Takashi Nose
User Modeling by Using Bag-of-Behaviors for Building a Dialog System Sensitive to the Interlocutor's Internal State. SIGDIAL Conference 2014: 74-78
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last updated on 2025-11-16 00:37 CET by the dblp team
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