The use of articulatory movement data in speech synthesis applications: An overview — Application of articulatory movements using machine learning algorithms

The use of articulatory movement data in speech synthesis applications: An overview — Application of articulatory movements using machine learning algorithms —

Published:2015 Issue:6 Volume:36 Page:467-477
ISSN:1346-3969
Container-title:Acoustical Science and Technology
language:en
Short-container-title:Acoust. Sci. & Tech.

Author:

Richmond Korin¹,Ling Zhenhua²,Yamagishi Junichi¹

Affiliation:

1. The Centre for Speech Technology Research, University of Edinburgh

2. National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China

Publisher

Acoustical Society of Japan

Subject

Acoustics and Ultrasonics

Link

https://www.jstage.jst.go.jp/article/ast/36/6/36_E156001/_pdf

Reference71 articles.

1. 1) P. W. Schönle, K. Gräbe, P. Wenig, J. Höhne, J. Schrader and B. Conrad, ``Electromagnetic articulography: Use of alternating magnetic fields for tracking movements of multiple points inside and outside the vocal tract,'' Brain Lang., 31, 26-35 (1987).

2. 2) T. Baer, J. C. Gore, S. Boyce and P. W. Nye, ``Application of MRI to the analysis of speech production,'' Magn. Reson. Imaging, 5, 1-7 (1987).

3. 3) S. Kiritani, ``X-ray microbeam method for the measurement of articulatory dynamics: Technique and results,'' Speech Commun., 45, 119-140 (1986).

4. 4) S. G. Lingala, B. P. Sutton, M. E. Miquel and K. S. Nayak, ``Recommendations for real-time speech MRI,'' J. Magn. Reson. Imaging (2015).

5. 5) Y. Akgul, C. Kambhamettu and M. Stone, ``Extraction and tracking of the tongue surface from ultrasound image sequences,'' IEEE Comput. Vision Pattern Recog., 124, 298-303 (1998).

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ultrasound- and MRI-based Speech Synthesis Applying Neural Networks;2024 25th International Carpathian Control Conference (ICCC);2024-05-22

2. A Neural Network Based Approach for Combining Ultrasound and MRI Data of 2-D Dynamic Records of Human Speech;2022 13th IEEE International Conference on Cognitive Infocommunications (CogInfoCom);2022-09-21

3. Machine Learning Applied in Speech Science;2022 23rd International Carpathian Control Conference (ICCC);2022-05-29

4. Generating the Voice of the Interactive Virtual Assistant;Virtual Assistant;2021-10-13

5. Temporal Convolution Network Based Joint Optimization of Acoustic-to-Articulatory Inversion;Applied Sciences;2021-09-28