Volume 4, Issue 1, June 2017, Pages 87 - 90
A Voice Signal-Based Manipulation Method for the Bio-Remote Environment Control System Based on Candidate Word Discriminations
Authors
Taro Shibanoki, Go Nakamura, Takaaki Chin, Toshio Tsuji
Corresponding Author
Taro Shibanoki
Available Online 1 June 2017.
- 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/).
Cite this article
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 -