loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Ańıbal Ferreira

Affiliation: Faculdade de Engenharia da Universidade do Porto, SEEGNAL Research, Portugal

Keyword(s): Vowel perception, automatic vowel recognition.

Related Ontology Subjects/Areas/Topics: Applications ; Audio and Speech Processing ; Digital Signal Processing ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Software Engineering ; Telecommunications

Abstract: Vowel recognition is frequently based on Linear Prediction (LP) analysis and formant estimation techniques. However, the performance of these techniques decreases in the case of female or child speech because at high pitch frequencies (F0) the magnitude spectrum is scarcely sampled making formant estimation unreliable. In this paper we describe the implementation of a perceptually motivated concept of vowel recognition that is based on Perceptual Spectral Clusters (PSC) of harmonic partials. PSC based features were evaluated in automatic recognition tests using the Mahalanobis distance and using a data base of five natural Portuguese vowel sounds uttered by 44 speakers, 27 of whom are child speakers. LP based features and Mel-Frequency Cepstral Coefficients (MFCC) were also included in the tests as a reference. Results show that while the recognition performance of PSC features falls between that of LP based features and that of MFCC coefficients, the normalization of PSC features by F0 increases the performance and approaches that of MFCC coefficients. PSC features are not only amenable to a psychophysical interpretation (as LP based features are) but have also the potential to compete with global shape features such as MFCCs. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.137.198.0

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ferreira, A. (2008). STATIC FEATURES IN ISOLATED VOWEL RECOGNITION AT HIGH PITCH. In Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2008) - SIGMAP; ISBN 978-989-8111-60-9, SciTePress, pages 63-68. DOI: 10.5220/0001934500630068

@conference{sigmap08,
author={Ańıbal Ferreira},
title={STATIC FEATURES IN ISOLATED VOWEL RECOGNITION AT HIGH PITCH},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2008) - SIGMAP},
year={2008},
pages={63-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001934500630068},
isbn={978-989-8111-60-9},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2008) - SIGMAP
TI - STATIC FEATURES IN ISOLATED VOWEL RECOGNITION AT HIGH PITCH
SN - 978-989-8111-60-9
AU - Ferreira, A.
PY - 2008
SP - 63
EP - 68
DO - 10.5220/0001934500630068
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic