Sumitaka Sakauchi

发表

Estimating Direct-to-Reverberant Energy Ratio Using D/R Spatial Correlation Matrix Model

Y. Haneda, K. Furuya, K. Niwa, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Estimating direct-to-reverberant energy ratio based on spatial correlation model segregating direct sound and reverberation

Yusuke Hioka, Ken'ichi Furuya, Youichi Haneda, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A stereo echo canceller implemented using a stereo shaker and a duo-filter control system

Shoji Makino, Akira Nakagawa, Suehiro Shimauchi, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Viterbi Approximation of Latent Words Language Models for Automatic Speech Recognition

Takanobu Oba, Ryo Masumura, Taichi Asami, 2019, J. Inf. Process..

Agreement and disagreement utterance detection in conversational speech by extracting and integrating local features

Manabu Okamoto, Taichi Asami, Hirokazu Masataki, 2015, INTERSPEECH.

Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition

Akinori Ito, Ryo Masumura, Takanobu Oba, 2015, IEICE Trans. Inf. Syst..

Hierarchical Latent Words Language Models for Automatic Speech Recognition

Takanobu Oba, Ryo Masumura, Taichi Asami, 2021, J. Inf. Process..

N-gram Approximation of Latent Words Language Models for Domain Robust Automatic Speech Recognition

Satoshi Takahashi, Takanobu Oba, Ryo Masumura, 2016, IEICE Trans. Inf. Syst..

Investigation of Combining Various Major Language Model Technologies including Data Expansion and Adaptation

Akinori Ito, Takanobu Oba, Ryo Masumura, 2016, IEICE Trans. Inf. Syst..

Latent words recurrent neural network language models

Akinori Ito, Takanobu Oba, Ryo Masumura, 2015, INTERSPEECH.

Mixture of latent words language models for domain adaptation

Takanobu Oba, Ryo Masumura, Taichi Asami, 2014, INTERSPEECH.

New report preparation system for endoscopic procedures using speech recognition technology

Ryo Masumura, T. Azuma, H. Kutsumi, 2018, Endoscopy International Open.

Kobe University Repository : Kernel タイトル Tit le New report preparat ion system for endoscopic procedures using speech recognit ion technology 著者

Ryo Masumura, H. Kutsumi, E. Umegaki, 2020 .

Domain Adaptation Based on Mixture of Latent Words Language Models for Automatic Speech Recognition

Akinori Ito, Takanobu Oba, Ryo Masumura, 2018, IEICE Trans. Inf. Syst..