Two-Stage Duration Model for Indian Languages Using Neural Networks-Reference-Cited by-同舟云学术

Two-Stage Duration Model for Indian Languages Using Neural Networks

Published:2004 Issue: Volume: Page:1179-1185
ISSN:0302-9743
Container-title:Neural Information Processing
language:
Short-container-title:

Author:

Rao K. Sreenivasa,Prasanna S. R. Mahadeva,Yegnanarayana B.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-30499-9_183.pdf

Reference4 articles.

1. Vainio, M., Altosaar, T.: Modeling the microprosody of pitch and loudness for speech synthesis with neural networks. In: Proc. Int. Conf. Spoken Language Processing, Sidney, Australia (September 1998)

2. Haykin, S.: Neural Networks: A Comprehensive Foundation. Pearson Education Aisa, Inc., New Delhi (1999)

3. Campbell, W.N.: Analog i/o nets for syllable timing. Speech Communication 9, 57–61 (1990)

4. Burges, C.J.C.: A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2(2), 121–167 (1998)

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