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

DOI

10.2991/jrnal.2017.4.1.19How to use a DOI?

Keywords

environment control system (ECS), speech recognition, candidate word, learning-type lookup table

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Taro Shibanoki
AU  - Go Nakamura
AU  - Takaaki Chin
AU  - Toshio Tsuji
PY  - 2017
DA  - 2017/06/01
TI  - A Voice Signal-Based Manipulation Method for the Bio-Remote Environment Control System Based on Candidate Word Discriminations
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 87
EP  - 90
VL  - 4
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.4.1.19
DO  - 10.2991/jrnal.2017.4.1.19
ID  - Shibanoki2017
ER  -