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ID 57782
フルテキストURL
著者
Murakami, Hiroki Okayama University
寄与者
Sunao Hara Okayama University ORCID Kaken ID publons researchmap
Masanobu Abe Okayama University
抄録
In this paper, we propose using phonemic information in addition to acoustic features to improve the intelligibility of speech uttered by patients with articulation disorders caused by a wide glossectomy. Our previous studies showed that voice conversion algorithm improves the quality of glossectomy patients' speech. However, losses in acoustic features of glossectomy patients' speech are so large that the quality of the reconstructed speech is low. To solve this problem, we explored potentials of several additional information to improve speech intelligibility. One of the candidates is phonemic information, more specifically Phoneme Labels as Auxiliary input (PLA). To combine both acoustic features and PLA, we employed a DNN-based algorithm. PLA is represented by a kind of one-of-k vector, i.e., PLA has a weight value (<; 1.0) that gradually changes in time axis, whereas one-of-k has a binary value (0 or 1). The results showed that the proposed algorithm reduced the mel-frequency cepstral distortion for all phonemes, and almost always improved intelligibility. Notably, the intelligibility was largely improved in phonemes /s/ and /z/, mainly because the tongue is used to sustain constriction to produces these phonemes. This indicates that PLA works well to compensate the lack of a tongue.
発行日
2019-11
出版物タイトル
Proceedings of APSIPA Annual Summit and Conference
2019巻
出版者
IEEE
開始ページ
138
終了ページ
142
ISSN
2640-009X
資料タイプ
会議発表論文
言語
English
著作権者
© Copyright APSIPA
イベント
APSIPA Annual Summit and Conference
イベント地
Lanzhou, China
イベント開催日
18-21 Nov. 2019
論文のバージョン
publisher
査読
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