Paper Abstract and Keywords |
Presentation |
2019-08-09 10:30
Study on Robust Method for Blindly Estimating Speech Transmission Index using Convolutional Neural Network with Temporal Amplitude Envelope Suradej Doungpummet (JAIST), Jessada Karunjana (NASDA), Waree Kongprawechnon (SIIT), Masashi Unoki (JAIST) EA2019-30 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have developed a robust scheme for blindly estimating speech transmission index (STI) in noisy reverberant environments based on a convolutional neural network (CNN) with temporal amplitude envelope feature. A method for estimating STI from an observed speech signal is required to predict the speech intelligibility in a sound field where people cannot be excluded. However, there is a significant accuracy reduction of an existing method based on the modulation transfer function due to the mismatch between the models and some real environments. To maintain an appropriate accuracy in general conditions, the robust scheme that the CNN is trained from entire temporal amplitude envelopes of speech signals with multiple noise types and reverberation conditions along with
their associated STIs has been introduced. Simulations were carried out to evaluate the proposed scheme under realistic noisy reverberant conditions. The results showed that the proposed scheme provides high accuracy (i.e., the average root-mean-square error of 0.12 and the correlation of 0.86) under various noise and reverberation conditions.
These results suggest that the proposed scheme can robustly estimate STIs in real noisy reverberant environments. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Speech transmission index / room impulse response / modulation transfer function / temporal amplitude envelope / convolutional neural network / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 163, EA2019-30, pp. 47-52, Aug. 2019. |
Paper # |
EA2019-30 |
Date of Issue |
2019-08-01 (EA) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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EA2019-30 |
Conference Information |
Committee |
EA ASJ-H |
Conference Date |
2019-08-08 - 2019-08-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tohoku Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Engineering/Electro Acoustics, Psychological and Physiological Acoustics, and Related Topics |
Paper Information |
Registration To |
EA |
Conference Code |
2019-08-EA-H |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Study on Robust Method for Blindly Estimating Speech Transmission Index using Convolutional Neural Network with Temporal Amplitude Envelope |
Sub Title (in English) |
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Keyword(1) |
Speech transmission index |
Keyword(2) |
room impulse response |
Keyword(3) |
modulation transfer function |
Keyword(4) |
temporal amplitude envelope |
Keyword(5) |
convolutional neural network |
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1st Author's Name |
Suradej Doungpummet |
1st Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
2nd Author's Name |
Jessada Karunjana |
2nd Author's Affiliation |
National Science and Technology Development Agency (NASDA) |
3rd Author's Name |
Waree Kongprawechnon |
3rd Author's Affiliation |
Sirindhorn International Institute of Technology (SIIT) |
4th Author's Name |
Masashi Unoki |
4th Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
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Speaker |
Author-1 |
Date Time |
2019-08-09 10:30:00 |
Presentation Time |
30 minutes |
Registration for |
EA |
Paper # |
EA2019-30 |
Volume (vol) |
vol.119 |
Number (no) |
no.163 |
Page |
pp.47-52 |
#Pages |
6 |
Date of Issue |
2019-08-01 (EA) |