フォロー
Ryoichi Takashima
Ryoichi Takashima
確認したメール アドレス: port.kobe-u.ac.jp - ホームページ
タイトル
引用先
引用先
Voice conversion in high-order eigen space using deep belief nets.
T Nakashika, R Takashima, T Takiguchi, Y Ariki
Interspeech, 369-372, 2013
1592013
Exemplar-based voice conversion in noisy environment
R Takashima, T Takiguchi, Y Ariki
2012 IEEE Spoken Language Technology Workshop (SLT), 313-317, 2012
1532012
Speech intonation in children with autism spectrum disorder
Y Nakai, R Takashima, T Takiguchi, S Takada
Brain and Development 36 (6), 516-522, 2014
1052014
GMM-based emotional voice conversion using spectrum and prosody features
R Aihara, R Takashima, T Takiguchi, Y Ariki
American Journal of Signal Processing 2 (5), 134-138, 2012
1032012
An investigation of a knowledge distillation method for CTC acoustic models
R Takashima, S Li, H Kawai
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
612018
Exemplar-based voice conversion using sparse representation in noisy environments
R Takashima, T Takiguchi, Y Ariki
IEICE Transactions on Fundamentals of Electronics, Communications and …, 2013
562013
Individuality-preserving voice conversion for articulation disorders based on non-negative matrix factorization
R Aihara, R Takashima, T Takiguchi, Y Ariki
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
372013
Two-step acoustic model adaptation for dysarthric speech recognition
R Takashima, T Takiguchi, Y Ariki
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
352020
Investigation of sequence-level knowledge distillation methods for CTC acoustic models
R Takashima, L Sheng, H Kawai
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
302019
Knowledge transferability between the speech data of persons with dysarthria speaking different languages for dysarthric speech recognition
Y Takashima, R Takashima, T Takiguchi, Y Ariki
IEEE Access 7, 164320-164326, 2019
282019
A preliminary demonstration of exemplar-based voice conversion for articulation disorders using an individuality-preserving dictionary
R Aihara, R Takashima, T Takiguchi, Y Ariki
EURASIP Journal on Audio, Speech, and Music Processing 2014, 1-10, 2014
282014
Auxiliary interference speaker loss for target-speaker speech recognition
N Kanda, S Horiguchi, R Takashima, Y Fujita, K Nagamatsu, S Watanabe
arXiv preprint arXiv:1906.10876, 2019
272019
Noise-robust voice conversion based on spectral mapping on sparse space
R Takashima, R Aihara, T Takiguchi, Y Ariki
Eighth ISCA Workshop on Speech Synthesis, 2013
222013
Fasterrcnn monitoring of road damages: Competition and deployment
T Hascoet, Y Zhang, A Persch, R Takashima, T Takiguchi, Y Ariki
2020 IEEE International Conference on Big Data (Big Data), 5545-5552, 2020
202020
HMM-based separation of acoustic transfer function for single-channel sound source localization
R Takashima, T Takiguchi, Y Ariki
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
192010
Information processing apparatus, method and program for determining weight of each feature in subjective hierarchical clustering
T Nagano, M Nishimura, T Ryoichi, R Tachibana
US Patent 8,918,396, 2014
182014
Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection
Y Fujita, R Takashima, T Homma, R Ikeshita, Y Kawaguchi, T Sumiyoshi, ...
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
172015
Noise-robust voice conversion based on sparse spectral mapping using non-negative matrix factorization
R Aihara, R Takashima, T Takiguchi, Y Ariki
IEICE TRANSACTIONS on Information and Systems 97 (6), 1411-1418, 2014
172014
Single-channel talker localization based on discrimination of acoustic transfer functions
T Takiguchi, Y Sumida, R Takashima, Y Ariki
EURASIP Journal on Advances in Signal Processing 2009, 1-9, 2009
162009
Full-band LPCNet: A real-time neural vocoder for 48 kHz audio with a CPU
K Matsubara, T Okamoto, R Takashima, T Takiguchi, T Toda, Y Shiga, ...
IEEE Access 9, 94923-94933, 2021
142021
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