Review of the Speech-aid Device
Author:
Affiliation:
1. Graduate School of Electricity Engineering, The University of Tokyo
2. Swallowing Center, The University of Tokyo Hospital
Publisher
The Japan Laryngological Association
Subject
General Engineering
Link
https://www.jstage.jst.go.jp/article/larynx/34/2/34_58/_pdf
Reference59 articles.
1. 1) Kaye R, Tang CG, Sinclair CF : The electrolarynx : voice restoration after total laryngectomy. Medical Devices : Evidence and Research 2017 ; 10 : 133-140.
2. 2) 坂倉 淳:人工喉頭音声.音声言語医学 1998;39:443-449.
3. 3) Zieliński K,Rączaszek-Leonardi J : A complex human-machine coordination problem : essential constraints on interaction control in bionic communication systems. Proc. CHI EA 2022 ; 302 : 1-8.
4. 4) Tobing PL, Toda T : High-fidelity and low-latency universal neural vocoder based on multiband WaveRNN with data-driven linear prediction for discrete waveform modeling. Proc. INTERSPEECH 2021 ; 5 : 3271-3275.
5. 5) Malathi P,Suresh GR,Moorthi M : Enhancement of electrolaryngeal speech using Frequency Auditory Masking and GMM based voice conversion. Proc. AEEICB 2018 ; 1-4.
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