A Training Method for the Speech Controlled Environmental Control System Based on Candidate Word Discriminations

Shibanoki Taro

Watanabe Masaki

Nakamura Go

Chin Takaaki

Tsuji Toshio

Journal of Robotics, Networking and Artificial Life

This paper proposes a concept of a training system for the speech controlled environmental control system: Bio-Remote based on candidate word discriminations. The proposed system can provide three-types of voice signal training: (1) volume, (2) tempo/timing and (3) candidate word which are important for accurate speech recognition based on false recognition results. During the training, such three kinds of features are extracted from measured voice signals and visually and auditory fed back to the user in real time. This allows the user to train speech abilities even if false recognition results are extracted because of slurred speech. The efficacy of the proposed system was demonstrated through training experiments for slurred speech conducted with healthy participants. The results showed that the proposed system was capable for the training of speech abilities.

speech training

environment control system (ECS)

speech recognition

candidate word

learning-type look-up table

eng

Atlantis Press

Copyright © 2018, 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/).

[ISSN] 2405-9021

[ISSN] 2352-6386

[DOI] 10.2991/jrnal.2018.5.2.14

[DOI] https://doi.org/10.2991/jrnal.2018.5.2.14