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Yasuo Ariki
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Publications
- 2021
- [j43]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) - 2020
- [c193]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 - [c192]Weihao Zhuang, Tristan Hascoet, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Convolutional neural networks Memory optimization Inference with Splitting Image. GCCE 2020: 893-894 - [c191]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Two-Step Acoustic Model Adaptation for Dysarthric Speech Recognition. ICASSP 2020: 6104-6108 - [c190]Yuki Takashima, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Dysarthric Speech Recognition Based on Deep Metric Learning. INTERSPEECH 2020: 4796-4800 - [i4]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) - 2019
- [j42]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) - 2014
- [j25]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) - [j23]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) - 2013
- [j22]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) - [c135]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 - [c134]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 - [c133]Toru Nakashika, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Voice conversion in high-order eigen space using deep belief nets. INTERSPEECH 2013: 369-372 - [c132]Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Exemplar-based individuality-preserving voice conversion for articulation disorders in noisy environments. INTERSPEECH 2013: 3637-3641 - [c127]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 - [c122]Ryoichi Takashima, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Noise-robust voice conversion based on spectral mapping on sparse space. SSW 2013: 71-75 - 2012
- [c120]Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Consonant enhancement for articulation disorders based on non-negative matrix factorization. APSIPA 2012: 1-4 - [c119]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 - [c118]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 - [c116]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 - [c111]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 - [c108]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Exemplar-based voice conversion in noisy environment. SLT 2012: 313-317 - 2011
- [c106]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 - [c104]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Single-Channel Head Orientation Estimation Based on Discrimination of Acoustic Transfer Function. INTERSPEECH 2011: 2721-2724 - 2010
- [c95]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
HMM-based separation of acoustic transfer function for single-channel sound source localization. ICASSP 2010: 2830-2833 - 2009
- [j16]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) - [c88]Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Monaural sound-source-direction estimation using the acoustic transfer function of an active microphone. FUSION 2009: 48-53
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