Estimation of articulatory motion using neural"networks  

Oleh:

Shirai, K. ; Kobayashi, Tomoaki

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Phonetics vol. 19 no. 3/4 (Jul. 1991), page 379 - 386.

Ketersediaan

Perpustakaan PKBB Nomor Panggil: 405/JOP/19 Non-tandon: tidak ada Tandon: 3

Lihat Detail Induk

Isi artikel

This paper discusses an application of neural networks to the problem of estimating articulatory parameters from speech waves. Since threeor four-layer feed-forward neural networks can approximate arbitrary nonlinear functions, and since estimation of articulatory parameters can be regarded as nonlinear mapping, it is expected that the neural network can be applied to the articulatory parameter estimation problem. Our results show that using a neural network, the articulatory parameters are estimated faster and more accurately than with the conventional model matching method.

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