Research & Development

新着記事

2021

Z. Zhu and Y.Sato, "Speech Emotion Recognition using Semi-supervised Learning with Efficient Labeling Strategies," 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2021.

2021

C. Liu and Y. Sato "Enhancing Block-Online Speech Separation using Interblock Context Flow," 23rd IEEE International Workshop on Multimedia Signal Processing (MMSP), 2021.

2021

D. Hossain and Y. Sato, "Efficient Corpus Design for Wake-Word Detection," 2021 IEEE Spoken Language Technology Workshop (SLT), 2021, pp. 1094-1100.

2020

C. Liu and Y. Sato, "Self-Attention for Multi-Channel Speech Separation in Noisy and Reverberant Environments," 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020, pp. 794-799.

2020

Z. Zhu and Y. Sato, "Reconciliation of Multiple Corpora for Speech Emotion Recognition by Multiple Classifiers with an Adversarial Corpus Discriminator," in Proceedings of the 21st Annual Conference of the International Speech Communication Association (Interspeech), 2020, pp. 2342-2346.

2020

Y. Sato and K. Miyazawa,"Quality estimation for partially subjective classification tasks via crowdsourcing," in Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), 2020, pp. 229–235.

2019

宮澤幸希,"コミュニケーション研究におけるELANの活用～映像・音声データへのアノテーション," 日本音響学会誌, Vol. 75, No. 6, pp. 344-350, 2019.

2018

N. Ikeda, Y. Sato and H. Takahashi,"Short utterance speaker recognition by reservoir with self-organized mapping," 2018 IEEE Spoken Language Technology Workshop (SLT), Athens, Greek, 2018, pp. 1073-1077.

2017

Y. Hayashibe,"日本語部分形態素アノテーションコーパスの構築," Information Processing Society of Japan (IPSJ) SIG Technical Reports, Vol. 2017-NL-231, No. 9, pp. 1-8, 2017.

2017

Y. Sato,"Application and Prospect of Spoken Language Technology at Fairy Devices," Information Processing Society of Japan (IPSJ) SIG Technical Reports, Vol. 2017-SLP-118, No.6, pp. 1-2, 2017.