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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| File | |
| Title ( eng ) |
A Voice Signal-Based Manipulation Method for the Bio-Remote Environment Control System Based on Candidate Word Discriminations
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| Creator |
Shibanoki Taro
Nakamura Go
Chin Takaaki
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| Source Title |
Journal of Robotics, Networking and Artificial Life
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| 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.
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| Keywords |
environment control system (ECS)
speech recognition
candidate word
learning-type lookup table
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| Descriptions |
This work was supported by JSPS KAKENHI Grant Number JP26330226.
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| Language |
eng
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| Resource Type | journal article |
| Publisher |
Atlantis Press
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| 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/).
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| 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
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