A Voice Signal-Based Manipulation Method for the Bio-Remote Environment Control System Based on Candidate Word Discriminations

Journal of Robotics, Networking and Artificial Life Volume 4 Issue 1 Page 87-90 published_at 2017-05
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Title ( eng )
A Voice Signal-Based Manipulation Method for the Bio-Remote Environment Control System Based on Candidate Word Discriminations
Creator
Shibanoki Taro
Nakamura Go
Chin Takaaki
Source Title
Journal of Robotics, Networking and Artificial Life
Volume 4
Issue 1
Start Page 87
End Page 90
Abstract
This paper proposes a voice signal-based manipulation method for the Bio-Remote environment control system. The proposed system learns relationships between multiple candidate words’ phonemes extracted by a largevocabulary speaker-independent model and control commands based on a self-learning look-up table. This allows the user to control various devices even if false recognition words are extracted. Experimental results showed that the method accurately discriminate slurred words (average discrimination rate: 93.9±2.40 [%]), and that participants were able to voluntarily control domestic appliances.
Keywords
environment control system (ECS)
speech recognition
candidate word
learning-type lookup table
Descriptions
This work was supported by JSPS KAKENHI Grant Number JP26330226.
Language
eng
Resource Type journal article
Publisher
Atlantis Press
Date of Issued 2017-05
Rights
Copyright © 2017, 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.2017.4.1.19
[DOI] https://doi.org/10.2991/jrnal.2017.4.1.19