Paper Info
Title
On Pole-Zero Model Estimation Methods Minimizing a Logarithmic Criterion for Speech Analysis
Abstract
A speech production model consists of a linear, slowly time-varying filter. Pole-zero models are required for a good representation of certain types of speech sounds, like nasals and laterals. From a perceptual point of view, designing them by minimizing a logarithmic criterion appears as a very suitable approach. The most accurate available results are obtained by using Newton-like search algorithms to optimize pole and zero positions, or the coefficients of a decomposition into quadratic factors. In this paper, we propose to optimize the numerator and denominator coefficients instead. Experimental results show that this is the computationally most efficient approach, especially when the optimization criterion considers a psychoacoustical frequency scale. To illustrate its applicability in speech processing, we used the proposed method for formant and anti-formant tracking as well as speech resynthesis.
Year
DOI
Venue
2010
10.1109/TASL.2009.2025544
Audio, Speech, and Language Processing, IEEE Transactions
Keywords
Field
DocType
filtering theory,search problems,speech processing,speech synthesis,Newton-like search algorithms,anti-formant tracking,formant tracking,logarithmic criterion minimization,pole-zero model estimation methods,psychoacoustical frequency scale,speech analysis,speech processing,speech resynthesis,time-varying filter,Bark scale,estimation,iterative methods,logarithmic arithmetic,nasals,numerator and denominator,poles and zeroes,speech analysis,transfer functions
Speech enhancement,Speech processing,Speech synthesis,Speech coding,Computer science,Bark scale,Speech recognition,Formant,Speech production,Linear predictive coding
Journal
Volume
Issue
ISSN
18
2
1558-7916
Citations 
PageRank 
References 
8
0.61
10
Authors
2
Name
Order
Citations
PageRank
Damián Marelli116419.58
Peter Balazs212510.83