Parameter optimization for Vocal Tract Length Normalization

被引：0
|
作者：
Dognin, P [1 ]
El-Jaroudi, A [1 ]
Billa, J [1 ]
机构：
[1] Univ Pittsburgh, Dept Elect Engn, Pittsburgh, PA 15261 USA
来源：
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI | 2000年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper focuses on the optimization of model parameters for Vocal Tract Length Normalization (VTLN). For Maximum-Likelihood (ML) based normalization techniques, the complexity of the VTL-Models is a source of variation in system performance. An optimal complexity for VTL-Model that ensures best global word error rate is proposed. The choice of frequency warping factor also depends on the signal processing step of VTLN. A best set of parameters for the VTLN signal processing stage is proposed with extensive results for an optimal frequency range.
引用
收藏
页码：1767 / 1770
页数：4
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