GS1-2 A Voice Signal-Based Manipulation Method for the Bio-Remote Environment Control System Based on Candidate Word Discriminations

Title:	GS1-2 A Voice Signal-Based Manipulation Method for the Bio-Remote Environment Control System Based on Candidate Word Discriminations
Publication:	ICAROB2017
Volume:	22
Pages:	464-467
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2017.GS1-2
Author(s):	Taro Shibanoki, Go Nakamura, Takaaki Chin, Toshio Tsuji
Publication Date:	January 19, 2017
Keywords:	environment control system (ECS), speech recognition, candidate word, learning-type look-up 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 large-vocabulary 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 results are extracted. Experimental results showed that the method accurately discriminate slurred words (average discrimination rate: 94.4±2.53 [%]), and that the participant was able to voluntarily control domestic appliances.
PDF File:	https://alife-robotics.co.jp/members2017/icarob/data/html/data/GS_pdf/GS1/GS1-2.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/