loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Shahrokh Ghaemmaghami 1 and Jalil Shirazi 2

Affiliations: 1 Sharif University of Technology, Iran, Islamic Republic of ; 2 Islamic Azad University, Iran, Islamic Republic of

ISBN: 978-989-8111-60-9

Keyword(s): Audio classification, sinusoidal model.

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

Abstract: In this paper, a new feature set for audio classification is presented and evaluated based on sinusoidal modeling of audio signals. Variance of the birth-death frequencies in sinusoidal model of signal, as a measure of harmony, is used and compared to typical features as the input into an audio classifier. The performance of this sinusoidal model feature is evaluated through classification of audio to speech and music using both the GMM and the SVM classifiers. Classification results show that the proposed feature is quite successful in speech/music classification. Experimental comparisons with popular features for audio classification, such as HZCRR and LSTER, are presented and discussed. By using a set of three features, we achieved 96.83% accuracy, in one-sec segment based audio classification.

PDF ImageFull Text

Download
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 3.80.4.76

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:
Ghaemmaghami S.; Shirazi J. and (2008). BIRTH-DEATH FREQUENCIES VARIANCE OF SINUSOIDAL MODEL - A New Feature for Audio Classification.In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008) ISBN 978-989-8111-60-9, pages 139-144. DOI: 10.5220/0001937601390144

@conference{sigmap08,
author={Shahrokh Ghaemmaghami and Jalil Shirazi},
title={BIRTH-DEATH FREQUENCIES VARIANCE OF SINUSOIDAL MODEL - A New Feature for Audio Classification},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)},
year={2008},
pages={139-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001937601390144},
isbn={978-989-8111-60-9},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)
TI - BIRTH-DEATH FREQUENCIES VARIANCE OF SINUSOIDAL MODEL - A New Feature for Audio Classification
SN - 978-989-8111-60-9
AU - Ghaemmaghami, S.
AU - Shirazi, J.
PY - 2008
SP - 139
EP - 144
DO - 10.5220/0001937601390144

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.