| Exemplar-based voice conversion in noisy environment R Takashima, T Takiguchi, Y Ariki 2012 IEEE Spoken Language Technology Workshop (SLT), 313-317, 2012 | 155 | 2012 |
| Voice conversion in high-order eigen space using deep belief nets. T Nakashika, R Takashima, T Takiguchi, Y Ariki Interspeech, 369-372, 2013 | 153 | 2013 |
| 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 | 94 | 2012 |
| Speech intonation in children with autism spectrum disorder Y Nakai, R Takashima, T Takiguchi, S Takada Brain and Development 36 (6), 516-522, 2014 | 91 | 2014 |
| 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 | 56 | 2018 |
| 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 | 55 | 2013 |
| 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 | 32 | 2013 |
| 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 | 27 | 2019 |
| 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), 1-10, 2014 | 27 | 2014 |
| 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 | 24 | 2020 |
| 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 | 22 | 2019 |
| 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 | 20 | 2013 |
| 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 | 19 | 2010 |
| 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 | 18 | 2019 |
| 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 | 18 | 2015 |
| 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 | 16 | 2014 |
| 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 | 15 | 2014 |
| 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 | 15 | 2009 |
| 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 | 13 | 2020 |
| Consonant enhancement for articulation disorders based on non-negative matrix factorization R Aihara, R Takashima, T Takiguchi, Y Ariki Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012 | 11 | 2012 |
