Estimating Underlying Articulatory Targets of Thai Vowels by Using Deep Learning Based on Generating Synthetic Samples From a 3D Vocal Tract Model and Data Augmentation

Author:

Lapthawan ThanatORCID,Prom-On SantithamORCID,Birkholz PeterORCID,Xu YiORCID

Funder

Leverhulme Trust Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Reference72 articles.

1. Using self-supervised learning can improve model robustness and uncertainty;hendrycks;arXiv 1906 12340,2019

2. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition

3. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,2017

4. Construction And Control Of A Three-Dimensional Vocal Tract Model

5. Acoustic-to-articulatory inversion using Particle Swarm Optimization

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