Study of Attractor Variation in the Reconstructed Phase Space of Speech Signals

Jinjin Ye; Michael T. Johnson; Richard J. Povinelli

Study of Attractor Variation in the Reconstructed Phase Space of Speech Signals

Jinjin Ye, Michael T. Johnson, Richard J. Povinelli

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

This paper presents a study of the attractor variation in the reconstructed phase spaces of isolated phonemes. The approach is based on recent work in time-domain signal classification using dynamical signal models, whereby a statistical distribution model is obtained from the phase space and used for maximum likelihood classification. Two sets of experiments are presented in this paper. The first uses a variable time lag phase space to examine the effect of fundamental frequency on attractor patterns. The second focuses on speaker variability through an investigation of speaker-dependent phoneme classification across speaker sets of increasing size.

Original language	English
State	Published - 2003
Event	2003 ISCA Tutorial and Research Workshop on Nonlinear Speech Processing, NOLISP 2003 - Le Croisic, France Duration: May 20 2003 → May 23 2003

Conference

Conference	2003 ISCA Tutorial and Research Workshop on Nonlinear Speech Processing, NOLISP 2003
Country/Territory	France
City	Le Croisic
Period	5/20/03 → 5/23/03

Bibliographical note

Publisher Copyright:
© NOLISP 2003. All Rights Reserved.

ASJC Scopus subject areas

Communication
Artificial Intelligence
Signal Processing
Linguistics and Language

Cite this

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abstract = "This paper presents a study of the attractor variation in the reconstructed phase spaces of isolated phonemes. The approach is based on recent work in time-domain signal classification using dynamical signal models, whereby a statistical distribution model is obtained from the phase space and used for maximum likelihood classification. Two sets of experiments are presented in this paper. The first uses a variable time lag phase space to examine the effect of fundamental frequency on attractor patterns. The second focuses on speaker variability through an investigation of speaker-dependent phoneme classification across speaker sets of increasing size.",

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AU - Johnson, Michael T.

AU - Povinelli, Richard J.

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N2 - This paper presents a study of the attractor variation in the reconstructed phase spaces of isolated phonemes. The approach is based on recent work in time-domain signal classification using dynamical signal models, whereby a statistical distribution model is obtained from the phase space and used for maximum likelihood classification. Two sets of experiments are presented in this paper. The first uses a variable time lag phase space to examine the effect of fundamental frequency on attractor patterns. The second focuses on speaker variability through an investigation of speaker-dependent phoneme classification across speaker sets of increasing size.

AB - This paper presents a study of the attractor variation in the reconstructed phase spaces of isolated phonemes. The approach is based on recent work in time-domain signal classification using dynamical signal models, whereby a statistical distribution model is obtained from the phase space and used for maximum likelihood classification. Two sets of experiments are presented in this paper. The first uses a variable time lag phase space to examine the effect of fundamental frequency on attractor patterns. The second focuses on speaker variability through an investigation of speaker-dependent phoneme classification across speaker sets of increasing size.

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M3 - Paper

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T2 - 2003 ISCA Tutorial and Research Workshop on Nonlinear Speech Processing, NOLISP 2003

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ER -

Study of Attractor Variation in the Reconstructed Phase Space of Speech Signals

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

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