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

DOI

10.2991/jrnal.2018.5.2.14How to use a DOI?

Keywords

speech training; environment control system (ECS); speech recognition; candidate word; learning-type look-up table

Abstract

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.

Copyright

Copyright © 2018, the Authors. Published by Atlantis Press.

Open Access

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

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TY  - JOUR
AU  - Taro Shibanoki
AU  - Masaki Watanabe
AU  - Go Nakamura
AU  - Takaaki Chin
AU  - Toshio Tsuji
PY  - 2018
DA  - 2018/09/30
TI  - A Training Method for the Speech Controlled Environmental Control System Based on Candidate Word Discriminations
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 135
EP  - 138
VL  - 5
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2018.5.2.14
DO  - 10.2991/jrnal.2018.5.2.14
ID  - Shibanoki2018
ER  -