| Title: | GS7-3 A Training Method for the Speech Controlled Environmental Control System Based on Candidate Word Discriminations* |
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| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 166-169 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.GS7-3 |
| Author(s): | Taro Shibanoki, Masaki Watanabe, Go Nakamura, Takaaki Chin, Toshio Tsuji |
| Publication Date: | February 2, 2018 |
| 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: BioRemote 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 train the speech abilities. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/GS_pdf/GS7/GS7-3.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/ |
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