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ORCIDRyo Aihara
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2020 – today
- 2024
[j9]Ryoichi Takashima
, Yuya Sawa, Ryo Aihara, Tetsuya Takiguchi, Yoshie Imai:
Dysarthric Speech Recognition Using Pseudo-Labeling, Self-Supervised Feature Learning, and a Joint Multi-Task Learning Approach. IEEE Access 12: 36990-36999 (2024)- [c29]Ryoichi Takashima, Takeru Otani, Ryo Aihara, Tetsuya Takiguchi, Shinya Taguchi:
Self-supervised learning using unlabeled speech with multiple types of speech disorder for disordered speech recognition. ASSETS 2024: 101:1-101:5 - [c28]Ryoichi Takashima, Fumiya Nakamura, Ryo Aihara, Tetsuya Takiguchi, Yusuke Itani:
Generation of Colored Subtitle Images Based on Emotional Information of Speech Utterances. EUSIPCO 2024: 536-540 - 2022
- [c27]Ryota Tsunoda, Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yoshie Imai:
Speaker-Targeted Audio-Visual Speech Recognition Using a Hybrid CTC/Attention Model with Interference Loss. ICASSP 2022: 251-255 - 2021
- [j8]Yuki Takashima, Ryoichi Takashima, Ryota Tsunoda, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki, Nobuaki Motoyama:
Unsupervised domain adaptation for lip reading based on cross-modal knowledge distillation. EURASIP J. Audio Speech Music. Process. 2021(1): 44 (2021)
2010 – 2019
- 2019
- [c26]Ryo Aihara, Toshiyuki Hanazawa, Yohei Okato, Gordon Wichern, Jonathan Le Roux:
Teacher-student Deep Clustering for Low-delay Single Channel Speech Separation. ICASSP 2019: 690-694 - 2018
- [c25]Taiki Izumi, Takanobu Uramoto, Shingo Uenohara, Ken'ichi Furuya, Ryo Aihara, Toshiyuki Hanazawa, Yohei Okato:
Multichannel NMF with Reduced Computational Complexity for Speech Recognition. APSIPA 2018: 192-195 - [c24]Taiki Izumi, Ryo Aihara, Toshiyuki Hanazawa, Yohei Okato, Takanobu Uramoto, Shingo Uenohara, Ken'ichi Furuya:
Reducing Computational Complexity of Multichannel Nonnegative Matrix Factorization Using Initial Value Setting for Speech Recognition. CISIS 2018: 893-900 - 2017
- [c23]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Phoneme-Discriminative Features for Dysarthric Speech Conversion. INTERSPEECH 2017: 3374-3378 - [c22]Rina Ra, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Visual-to-speech conversion based on maximum likelihood estimation. MVA 2017: 518-521 - 2016
- [j7]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Multiple Non-Negative Matrix Factorization for Many-to-Many Voice Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 24(7): 1175-1184 (2016) - [c21]Yuichiro Kataoka, Toru Nakashika, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Selection of an optimum random matrix using a genetic algorithm for acoustic feature extraction. ICIS 2016: 1-6 - [c20]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Semi-non-negative matrix factorization using alternating direction method of multipliers for voice conversion. ICASSP 2016: 5170-5174 - [c19]Yuki Takashima, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki, Nobuyuki Mitani, Kiyohiro Omori, Kaoru Nakazono:
Audio-Visual Speech Recognition Using Bimodal-Trained Bottleneck Features for a Person with Severe Hearing Loss. INTERSPEECH 2016: 277-281 - [c18]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Parallel Dictionary Learning for Voice Conversion Using Discriminative Graph-Embedded Non-Negative Matrix Factorization. INTERSPEECH 2016: 292-296 - 2015
- [j6]Kenta Masaka, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Multimodal voice conversion based on non-negative matrix factorization. EURASIP J. Audio Speech Music. Process. 2015: 24 (2015) - [j5]Ryo Aihara, Takao Fujii, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Small-parallel exemplar-based voice conversion in noisy environments using affine non-negative matrix factorization. EURASIP J. Audio Speech Music. Process. 2015: 32 (2015) - [j4]Yuki Takashima, Yasuhiro Kakihara, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki, Nobuyuki Mitani, Kiyohiro Omori, Kaoru Nakazono:
Audio-Visual Speech Recognition Using Convolutive Bottleneck Networks for a Person with Severe Hearing Loss. IPSJ Trans. Comput. Vis. Appl. 7: 64-68 (2015) - [j3]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Individuality-Preserving Voice Conversion for Articulation Disorders Using Phoneme-Categorized Exemplars. ACM Trans. Access. Comput. 6(4): 13:1-13:17 (2015) - [c17]Ryo Aihara, Takao Fujii, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Noise-robust voice conversion using a small parallel data based on non-negative matrix factorization. EUSIPCO 2015: 315-319 - [c16]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Activity-mapping non-negative matrix factorization for exemplar-based voice conversion. ICASSP 2015: 4899-4903 - [c15]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Many-to-many voice conversion based on multiple non-negative matrix factorization. INTERSPEECH 2015: 2749-2753 - [c14]Reina Ueda, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Individuality-Preserving Spectrum Modification for Articulation Disorders Using Phone Selective Synthesis. SLPAT@Interspeech 2015: 118-123 - [c13]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Many-to-one voice conversion using exemplar-based sparse representation. WASPAA 2015: 1-5 - 2014
- [j2]Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
A preliminary demonstration of exemplar-based voice conversion for articulation disorders using an individuality-preserving dictionary. EURASIP J. Audio Speech Music. Process. 2014: 5 (2014) - [j1]Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Noise-Robust Voice Conversion Based on Sparse Spectral Mapping Using Non-negative Matrix Factorization. IEICE Trans. Inf. Syst. 97-D(6): 1411-1418 (2014) - [c12]Ryo Aihara, Reina Ueda, Tetsuya Takiguchi, Yasuo Ariki:
Exemplar-based emotional voice conversion using non-negative matrix factorization. APSIPA 2014: 1-7 - [c11]Kenta Masaka, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Multimodal voice conversion using non-negative matrix factorization in noisy environments. ICASSP 2014: 1542-1546 - [c10]Ryo Aihara, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Voice conversion based on Non-negative matrix factorization using phoneme-categorized dictionary. ICASSP 2014: 7894-7898 - [c9]Kenta Masaka, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Multimodal exemplar-based voice conversion using lip features in noisy environments. INTERSPEECH 2014: 1159-1163 - [c8]E. Byambakhishig, Katsuyuki Tanaka, Ryo Aihara, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Error correction of automatic speech recognition based on normalized web distance. INTERSPEECH 2014: 2852-2856 - [c7]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Individuality-preserving Voice Conversion for Articulation Disorders Using Dictionary Selective Non-negative Matrix Factorization. SLPAT@ACL 2014: 29-37 - 2013
- [c6]Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Individuality-preserving voice conversion for articulation disorders based on non-negative matrix factorization. ICASSP 2013: 8037-8040 - [c5]Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Exemplar-based individuality-preserving voice conversion for articulation disorders in noisy environments. INTERSPEECH 2013: 3637-3641 - [c4]Takao Fujii, Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Voice conversion based on Non-negative Matrix Factorization in noisy environments. SII 2013: 495-498 - [c3]Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Individuality-Preserving Voice Conversion for Articulation Disorders Using Locality-Constrained NMF. SLPAT 2013: 3-8 - [c2]Ryoichi Takashima, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Noise-robust voice conversion based on spectral mapping on sparse space. SSW 2013: 71-75 - 2012
- [c1]Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Consonant enhancement for articulation disorders based on non-negative matrix factorization. APSIPA 2012: 1-4
Coauthor Index
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