✦ LIBER ✦

Pole–zero estimation of speech signal based on zero-tracking algorithm

✍ Scribed by N. Ouaaline; L. Radouane

Publisher: John Wiley and Sons
Year: 1998
Tongue: English
Weight: 196 KB
Volume: 12
Category: Article
ISSN: 0890-6327
DOI: 10.1002/(sici)1099-1115(199802)12:1<1::aid-acs439>3.0.co;2-a

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✦ Synopsis

This paper describes an adaptive algorithm for formant and antiformant tracking of nasal sounds of speech signal. It is based on an extension of the zero-tracking algorithm (ZTA) to the autoregressive moving average model (ARMA). In this context the parameter estimation algorithm used is a modified RLS algorithm ( -RLS). This adaptive algorithm is shown to be robust against the sounds. The proposed algorithm updates adaptively the complex poles (formants) of the AR part and the complex zeros (antiformants) of the MA part respectively. An application to natural speech is given.