A Training Method for the Speech Controlled Environmental Control System Based on Candidate Word Discriminations

Journal of Robotics, Networking and Artificial Life Volume 5 Issue 2 Page 135-138 published_at 2018-09
アクセス数 : 327
ダウンロード数 : 67

今月のアクセス数 : 7
今月のダウンロード数 : 3
File
JRNAL_5_135.pdf 1.71 MB 種類 : fulltext
Title ( eng )
A Training Method for the Speech Controlled Environmental Control System Based on Candidate Word Discriminations
Creator
Shibanoki Taro
Watanabe Masaki
Nakamura Go
Chin Takaaki
Source Title
Journal of Robotics, Networking and Artificial Life
Volume 5
Issue 2
Start Page 135
End Page 138
Abstract
This paper proposes a concept of a training system for the speech controlled environmental control system: Bio-Remote based on candidate word discriminations. The proposed system can provide three-types of voice signal training: (1) volume, (2) tempo/timing and (3) candidate word which are important for accurate speech recognition based on false recognition results. During the training, such three kinds of features are extracted from measured voice signals and visually and auditory fed back to the user in real time. This allows the user to train speech abilities even if false recognition results are extracted because of slurred speech. The efficacy of the proposed system was demonstrated through training experiments for slurred speech conducted with healthy participants. The results showed that the proposed system was capable for the training of speech abilities.
Keywords
speech training
environment control system (ECS)
speech recognition
candidate word
learning-type look-up table
Descriptions
This work was partially supported by JSPS/MEXT KAKENHI Grant Numbers 17K12723 and 26330226.
Language
eng
Resource Type journal article
Publisher
Atlantis Press
Date of Issued 2018-09
Rights
Copyright © 2018, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Publish Type Version of Record
Access Rights open access
Source Identifier
[ISSN] 2405-9021
[ISSN] 2352-6386
[DOI] 10.2991/jrnal.2018.5.2.14
[DOI] https://doi.org/10.2991/jrnal.2018.5.2.14