Authors
Taro Shibanoki, Go Nakamura, Takaaki Chin, Toshio Tsuji
Corresponding Author
Taro Shibanoki
Available Online 1 June 2017.
DOI
https://doi.org/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 ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).