| Paper Abstract and Keywords |
| Presentation |
2015-08-21 10:00
Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition Ryo Masumura, Taichi Asami, Takanobu Oba, Hirokazu Masataki, Sumitaka Sakauchi (NTT), Akinori Ito (Tohoku Universicty) SP2015-50 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper proposes a novel language modeling approach called latent word recurrent neural network language model, which solves the problems present in both recurrent neural network language models (RNNLMs) and latent word language models (LWLMs). The proposed model has a soft class structure based on a latent variable space as well as LWLM, where the latent variable space is modeled using RNNLM. This paper also details the parameter inference method and two kinds of usages for natural language processing tasks. Our experiments show effectiveness of the proposed model on a perplexity evaluation for the Penn Treebank corpus and an automatic speech recognition evaluation for Japanese spontaneous speech tasks. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
latent words recurrent neural network language model / n-gram approximation / Viterbi approximation / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 115, no. 184, SP2015-50, pp. 1-6, Aug. 2015. |
| Paper # |
SP2015-50 |
| Date of Issue |
2015-08-14 (SP) |
| 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) |
| Download PDF |
SP2015-50 |
| Conference Information |
| Committee |
SP |
| Conference Date |
2015-08-21 - 2015-08-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Iwate Prefectural Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Spoken document processing, etc. |
| Paper Information |
| Registration To |
SP |
| Conference Code |
2015-08-SP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition |
| Sub Title (in English) |
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| Keyword(1) |
latent words recurrent neural network language model |
| Keyword(2) |
n-gram approximation |
| Keyword(3) |
Viterbi approximation |
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| 1st Author's Name |
Ryo Masumura |
| 1st Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name |
Taichi Asami |
| 2nd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name |
Takanobu Oba |
| 3rd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 4th Author's Name |
Hirokazu Masataki |
| 4th Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 5th Author's Name |
Sumitaka Sakauchi |
| 5th Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 6th Author's Name |
Akinori Ito |
| 6th Author's Affiliation |
Tohoku Universicty (Tohoku Universicty) |
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| Speaker |
Author-1 |
| Date Time |
2015-08-21 10:00:00 |
| Presentation Time |
25 minutes |
| Registration for |
SP |
| Paper # |
SP2015-50 |
| Volume (vol) |
vol.115 |
| Number (no) |
no.184 |
| Page |
pp.1-6 |
| #Pages |
6 |
| Date of Issue |
2015-08-14 (SP) |