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ORCIDRyoichi Takashima
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2020 – today
- 2024
[j12]Haruki Yamashita
, Takuma Okamoto, Ryoichi Takashima, Yamato Ohtani, Tetsuya Takiguchi, Tomoki Toda, Hisashi Kawai:
Fast Neural Speech Waveform Generative Models With Fully-Connected Layer-Based Upsampling. IEEE Access 12: 31409-31421 (2024)- [j11]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) - [c52]Minori Iwata, Ryoichi Takashima, Chiho Sasaki, Tetsuya Takiguchi:
Individuality-Preserving Speech Synthesis for Spinal Muscular Atrophy with a Tracheotomy. ASSETS 2024: 99:1-99:5 - [c51]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 - 2023
- [j10]Keisuke Matsubara, Takuma Okamoto, Ryoichi Takashima, Tetsuya Takiguchi, Tomoki Toda, Hisashi Kawai:
Harmonic-Net: Fundamental Frequency and Speech Rate Controllable Fast Neural Vocoder. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1902-1915 (2023) - [c50]Aoto Sugahara, Soma Kishimoto, Yuji Adachi, Kiyoto Tai, Ryoichi Takashima, Tetsuya Takiguchi:
Operatic Singing Voice Synthesis Using Diff-SVC. GCCE 2023: 776-777 - [c49]Naoki Hojo, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa:
EEG Source Estimation Using Deep Prior Without a Subject's Individual Lead Field. ICASSP Workshops 2023: 1-5 - [c48]Yihan Lin, Xunquan Chen, Ryoichi Takashima, Tetsuya Takiguchi:
Zero-Shot Sound Event Classification Using a Sound Attribute Vector with Global and Local Feature Learning. ICASSP 2023: 1-5 - [i6]Yihan Lin, Xunquan Chen, Ryoichi Takashima, Tetsuya Takiguchi:
Zero-shot Sound Event Classification Using a Sound Attribute Vector with Global and Local Feature Learning. CoRR abs/2303.10316 (2023) - 2022
- [j9]Xunquan Chen, Atsuki Oshiro, Jinhui Chen, Ryoichi Takashima, Tetsuya Takiguchi:
Phoneme-guided Dysarthric speech conversion With non-parallel data by joint training. Signal Image Video Process. 16(6): 1641-1648 (2022) - [c47]Yihan Lin, Xunquan Chen, Ryoichi Takashima, Tetsuya Takiguchi:
Binary Attribute Embeddings for Zero-Shot Sound Event Classification. GCCE 2022: 13-14 - [c46]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 - [c45]Sota Shimizu, Keisuke Matsubara, Yuji Adachi, Kiyoto Tai, Ryoichi Takashima, Tetsuya Takiguchi:
Comparative Evaluation of Neural Vocoders for Speech Synthesis of Operatic Singing. LifeTech 2022: 28-29 - [c44]Yuki Matsuzaka, Ryoichi Takashima, Chiho Sasaki, Tetsuya Takiguchi:
Data Augmentation for Dysarthric Speech Recognition Based on Text-to-Speech Synthesis. LifeTech 2022: 399-400 - [c43]Rio Yamana, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa:
MEG Source Localization Using Deep Prior. LifeTech 2022: 590-591 - [c42]Yuya Sawa, Ryoichi Takashima, Tetsuya Takiguchi:
Adaptation of a Pronunciation Dictionary for Dysarthric Speech Recognition. LifeTech 2022: 631-635 - [i5]Rio Yamana, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa:
Current Source Localization Using Deep Prior with Depth Weighting. CoRR abs/2203.13981 (2022) - [i4]Weihao Zhuang, Tristan Hascoet, Ryoichi Takashima, Tetsuya Takiguchi:
Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation. CoRR abs/2206.10886 (2022) - [i3]Weihao Zhuang, Tristan Hascoet, Ryoichi Takashima, Tetsuya Takiguchi:
Learn to See Faster: Pushing the Limits of High-Speed Camera with Deep Underexposed Image Denoising. CoRR abs/2211.16034 (2022) - 2021
- [j8]Keisuke Matsubara, Takuma Okamoto, Ryoichi Takashima, Tetsuya Takiguchi, Tomoki Toda, Yoshinori Shiga, Hisashi Kawai:
Full-Band LPCNet: A Real-Time Neural Vocoder for 48 kHz Audio With a CPU. IEEE Access 9: 94923-94933 (2021) - [j7]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) - [j6]Jinhui Chen, Ryoichi Takashima, Xingchen Guo, Zhihong Zhang, Xuexin Xu, Tetsuya Takiguchi, Edwin R. Hancock:
Multimodal fusion for indoor sound source localization. Pattern Recognit. 115: 107906 (2021) - [c41]Kento Fujiwara, Ryoichi Takashima, Chihiro Sugiyama, Nobukazu Tanaka, Kanji Nohara, Kazunori Nozaki, Tetsuya Takiguchi:
Data Augmentation Based on Frequency Warping for Recognition of Cleft Palate Speech. APSIPA ASC 2021: 471-476 - [c40]Keisuke Matsubara, Takuma Okamoto, Ryoichi Takashima, Tetsuya Takiguchi, Tomoki Toda, Yoshinori Shiga, Hisashi Kawai:
High-Intelligibility Speech Synthesis for Dysarthric Speakers with LPCNet-Based TTS and CycleVAE-Based VC. ICASSP 2021: 7058-7062 - 2020
- [c39]Tristan Hascoet, Yihao Zhang, Andreas Persch, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
FasterRCNN Monitoring of Road Damages: Competition and Deployment. IEEE BigData 2020: 5545-5552 - [c38]Yuya Sawa, Ryoichi Takashima, Tetsuya Takiguchi:
An Investigation of End-to-End Speech Recognition Using Model Adaptation for Dysarthric Speakers. GCCE 2020: 480-481 - [c37]Kenta Katahira, Yuji Adachi, Kiyoto Tai, Ryoichi Takashima, Tetsuya Takiguchi:
Opera Singing Voice Synthesis Considering Vowel Variations. GCCE 2020: 865-866 - [c36]Weihao Zhuang, Tristan Hascoet, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Convolutional neural networks Memory optimization Inference with Splitting Image. GCCE 2020: 893-894 - [c35]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Two-Step Acoustic Model Adaptation for Dysarthric Speech Recognition. ICASSP 2020: 6104-6108 - [c34]Yuki Takashima, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Dysarthric Speech Recognition Based on Deep Metric Learning. INTERSPEECH 2020: 4796-4800 - [i2]Tristan Hascoet, Yihao Zhang, Andreas Persch, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
FasterRCNN Monitoring of Road Damages: Competition and Deployment. CoRR abs/2010.11780 (2020)
2010 – 2019
- 2019
- [j5]Yuki Takashima, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Knowledge Transferability Between the Speech Data of Persons With Dysarthria Speaking Different Languages for Dysarthric Speech Recognition. IEEE Access 7: 164320-164326 (2019) - [c33]Ryoichi Takashima, Sheng Li, Hisashi Kawai:
Investigation of Sequence-level Knowledge Distillation Methods for CTC Acoustic Models. ICASSP 2019: 6156-6160 - [c32]Naoyuki Kanda, Shota Horiguchi, Ryoichi Takashima, Yusuke Fujita, Kenji Nagamatsu, Shinji Watanabe:
Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition. INTERSPEECH 2019: 236-240 - [i1]Naoyuki Kanda, Shota Horiguchi, Ryoichi Takashima, Yusuke Fujita, Kenji Nagamatsu, Shinji Watanabe:
Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition. CoRR abs/1906.10876 (2019) - 2018
- [c31]Ryoichi Takashima, Sheng Li, Hisashi Kawai:
An Investigation of a Knowledge Distillation Method for CTC Acoustic Models. ICASSP 2018: 5809-5813 - [c30]Ryoichi Takashima, Sheng Li, Hisashi Kawai:
CTC Loss Function with a Unit-Level Ambiguity Penalty. ICASSP 2018: 5909-5913 - [c29]Sheng Li, Xugang Lu, Ryoichi Takashima, Peng Shen, Tatsuya Kawahara, Hisashi Kawai:
Improving CTC-based Acoustic Model with Very Deep Residual Time-delay Neural Networks. INTERSPEECH 2018: 3708-3712 - [c28]Sheng Li, Xugang Lu, Ryoichi Takashima, Peng Shen, Tatsuya Kawahara, Hisashi Kawai:
Improving Very Deep Time-Delay Neural Network With Vertical-Attention For Effectively Training CTC-Based ASR Systems. SLT 2018: 77-83 - 2017
- [c27]Yohei Kawaguchi, Ryoichi Takashima, Takashi Endo, Masahito Togami:
Time-domain subsampling and reconstruction for microphone array. APSIPA 2017: 370-374 - [c26]Yohei Kawaguchi, Sandra Ramaswami, Ryoichi Takashima, Takashi Endo, Rintaro Ikeshita:
Sub-Nyquist non-uniform sampling for low-cost sound monitoring. APSIPA 2017: 452-456 - [c25]Ryoichi Takashima, Yohei Kawaguchi, Qinghua Sun, Takashi Sumiyoshi, Masahito Togami:
An application of noise-robust speech translation using asynchronous smart devices. APSIPA 2017: 1592-1595 - [c24]Sheng Li, Xugang Lu, Peng Shen, Ryoichi Takashima, Tatsuya Kawahara, Hisashi Kawai:
Incremental training and constructing the very deep convolutional residual network acoustic models. ASRU 2017: 222-227 - [c23]Sandra Ramaswami, Yohei Kawaguchi, Ryoichi Takashima, Takashi Endo, Masahito Togami:
ADMM-based audio reconstruction for low-cost-sound-monitoring. EUSIPCO 2017: 1260-1264 - [c22]Ryoichi Takashima, Yohei Kawaguchi, Masahito Togami:
Separation of vibration-derived sound signals based on fusion processing of vibration sensors and microphones. EUSIPCO 2017: 2428-2432 - 2016
- [c21]Yusuke Fujita, Ryoichi Takashima, Takeshi Homma, Masahito Togami:
Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling. INTERSPEECH 2016: 3818-3822 - [c20]Masahito Togami, Ryoichi Takashima, Yusuke Fujita:
Solving permutation problem with a cascade combination of phase difference entropy and power spectral correlation. IWAENC 2016: 1-4 - 2015
- [c19]Yusuke Fujita, Ryoichi Takashima, Takeshi Homma, Rintaro Ikeshita, Yohei Kawaguchi, Takashi Sumiyoshi, Takashi Endo, Masahito Togami:
Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection. ASRU 2015: 416-422 - 2014
- [j4]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) - [j3]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) - [c18]Masahito Togami, Yohei Kawaguchi, Ryoichi Takashima:
Frequency domain acoustic echo reduction based on Kalman smoother with time-varying noise covariance matrix. ICASSP 2014: 5909-5913 - 2013
- [j2]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Exemplar-Based Voice Conversion Using Sparse Representation in Noisy Environments. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(10): 1946-1953 (2013) - [c17]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Prediction of unlearned position based on local regression for single-channel talker localization using acoustic transfer function. ICASSP 2013: 4295-4299 - [c16]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 - [c15]Toru Nakashika, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Voice conversion in high-order eigen space using deep belief nets. INTERSPEECH 2013: 369-372 - [c14]Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Exemplar-based individuality-preserving voice conversion for articulation disorders in noisy environments. INTERSPEECH 2013: 3637-3641 - [c13]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 - [c12]Ryoichi Takashima, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Noise-robust voice conversion based on spectral mapping on sparse space. SSW 2013: 71-75 - 2012
- [c11]Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Consonant enhancement for articulation disorders based on non-negative matrix factorization. APSIPA 2012: 1-4 - [c10]Tetsuya Takiguchi, Ryoichi Takashima, Yasuo Ariki, Toshiaki Imada, Jo-Fu Lotus Lin, Patricia K. Kuhl, Masaki Kawakatsu, Makoto Kotani:
An adaboost-based weighting method for localizing human brain magnetic activity. APSIPA 2012: 1-4 - [c9]Toshiya Yoshioka, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Robust feature extraction to utterance fluctuations due to articulation disorders based on sparse expression. APSIPA 2012: 1-4 - [c8]Tetsuya Takiguchi, Toshiaki Imada, Ryoichi Takashima, Yasuo Ariki, Jo-Fu Lotus Lin, Patricia K. Kuhl, Masaki Kawakatsu, Makoto Kotani:
A new multiple-kernel-learning weighting method for localizing human brain magnetic activity. ICASSP 2012: 761-764 - [c7]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Estimation of Talker's Head Orientation Based on Discrimination of the Shape of Cross-power Spectrum Phase Coefficients. INTERSPEECH 2012: 1844-1847 - [c6]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Exemplar-based voice conversion in noisy environment. SLT 2012: 313-317 - 2011
- [c5]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer function. ICASSP 2011: 2696-2699 - [c4]Ryoichi Takashima, Tohru Nagano, Ryuki Tachibana, Masafumi Nishimura:
Agglomerative Hierarchical Clustering of Emotions in Speech Based on Subjective Relative Similarity. INTERSPEECH 2011: 2473-2476 - [c3]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Single-Channel Head Orientation Estimation Based on Discrimination of Acoustic Transfer Function. INTERSPEECH 2011: 2721-2724 - 2010
- [c2]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
HMM-based separation of acoustic transfer function for single-channel sound source localization. ICASSP 2010: 2830-2833
2000 – 2009
- 2009
- [j1]Tetsuya Takiguchi, Yuji Sumida, Ryoichi Takashima, Yasuo Ariki:
Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer Functions. EURASIP J. Adv. Signal Process. 2009 (2009) - [c1]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Monaural sound-source-direction estimation using the acoustic transfer function of an active microphone. FUSION 2009: 48-53
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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