| Paper Abstract and Keywords |
| Presentation |
2018-07-26 17:15
Knowledge Distillation from Neural Network Based Acoustic Model based on Different Decision Tree Takashi Fukuda, Samuel Thomas (IBM) SP2018-20 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper proposes a method to transfer acoustic knowledge from teacher network with a different decision tree to a student network. The teacher model has different output layer from the student network but has high recognition performance. In the proposed method, (1) phone alignments are generated from each phoneme context dependent decision tree, which relates to the output layer of the network, and (2) create a confusion matrix representing a relationship of phoneme contexts between teacher's and student's output nodes. In the experiments, we show that the proposed method contributes to the improvement of student network and report that 9.6% relative improvement was obtained by the proposed method over the acoustic model constructed only with hard labels on noisy environment speech recognition task with Aurora 4. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Speech recognition / acoustic model / knowledge distillation / decision tree / phone mapping / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 118, no. 160, SP2018-20, pp. 21-24, July 2018. |
| Paper # |
SP2018-20 |
| Date of Issue |
2018-07-19 (SP) |
| ISSN |
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) |
| Download PDF |
SP2018-20 |
| Conference Information |
| Committee |
SP IPSJ-SLP |
| Conference Date |
2018-07-26 - 2018-07-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Sago-Royal-Hotel (Hamamatsu) |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Speech recognition and understanding, dialog system, etc. |
| Paper Information |
| Registration To |
SP |
| Conference Code |
2018-07-SP-SLP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Knowledge Distillation from Neural Network Based Acoustic Model based on Different Decision Tree |
| Sub Title (in English) |
|
| Keyword(1) |
Speech recognition |
| Keyword(2) |
acoustic model |
| Keyword(3) |
knowledge distillation |
| Keyword(4) |
decision tree |
| Keyword(5) |
phone mapping |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Takashi Fukuda |
| 1st Author's Affiliation |
IBM Japan (IBM) |
| 2nd Author's Name |
Samuel Thomas |
| 2nd Author's Affiliation |
IBM T. J. Watson Research Center (IBM) |
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| Speaker |
Author-1 |
| Date Time |
2018-07-26 17:15:00 |
| Presentation Time |
30 minutes |
| Registration for |
SP |
| Paper # |
SP2018-20 |
| Volume (vol) |
vol.118 |
| Number (no) |
no.160 |
| Page |
pp.21-24 |
| #Pages |
4 |
| Date of Issue |
2018-07-19 (SP) |