Presentation | 2014-06-20 Accurate Recognition of Overlapped Speech : High Speed Speech Separation by Spectral Subtraction and Acoustic Model Training using Separated Speeches Yuto DEKIURA, Tetsuya MATSUMOTO, Yoshinori TAKEUCHI, Hiroaki KUDO, Noboru ONISHI, Norihide KITAOKA, Kazuya TAKEDA, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The purpose of this study is to recognize overlapped speech more accurately. In order to achieve this, it is necessary to separate overlapped speech. However, recognition accuracy is insufficient due to the distortion and residual noise caused by the processing of separation. Also, the conventional methods based on Independent Component Analysis, take heavy computational cost. In this study, we propose to train acoustic models using distorted speech and to separate overlapped speech by spectral subtraction of estimated speech uttered by the other speakers. In a recognition task of simulated overlapped speech, the proposed method improved recognition accuracy by approximately 6% and reduced 4/5 of the computational cost compared with a conventional method. Also, training acoustic models using separated speech improved recognition accuracy by approximately 20%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Overlapped Speech Recognition / Speech separation / Speech spectrum estimation / Spectral Subtraction |
Paper # | SP2014-56,WIT2014-11 |
Date of Issue |
Conference Information | |
Committee | WIT |
---|---|
Conference Date | 2014/6/12(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Well-being Information Technology(WIT) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Accurate Recognition of Overlapped Speech : High Speed Speech Separation by Spectral Subtraction and Acoustic Model Training using Separated Speeches |
Sub Title (in English) | |
Keyword(1) | Overlapped Speech Recognition |
Keyword(2) | Speech separation |
Keyword(3) | Speech spectrum estimation |
Keyword(4) | Spectral Subtraction |
1st Author's Name | Yuto DEKIURA |
1st Author's Affiliation | Nagoya University() |
2nd Author's Name | Tetsuya MATSUMOTO |
2nd Author's Affiliation | Nagoya University |
3rd Author's Name | Yoshinori TAKEUCHI |
3rd Author's Affiliation | Department of Computer Science, School of Informatics, Daido University |
4th Author's Name | Hiroaki KUDO |
4th Author's Affiliation | Nagoya University |
5th Author's Name | Noboru ONISHI |
5th Author's Affiliation | Nagoya University |
6th Author's Name | Norihide KITAOKA |
6th Author's Affiliation | Nagoya University |
7th Author's Name | Kazuya TAKEDA |
7th Author's Affiliation | Nagoya University |
Date | 2014-06-20 |
Paper # | SP2014-56,WIT2014-11 |
Volume (vol) | vol.114 |
Number (no) | 92 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |