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Author: Tomasz Maka

Affiliation: West Pomeranian University of Technology, Poland

ISBN: 978-989-758-046-8

Keyword(s): Auditory Features, Audio Segmentation, Delta-BIC Segmentation.

Related Ontology Subjects/Areas/Topics: Digital Audio and Video Broadcasting ; Multidimensional Signal Processing ; Multimedia ; Multimedia and Communications ; Multimedia Databases, Indexing, Recognition and Retrieval ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Semantic Analysis of Multimedia Data ; Telecommunications

Abstract: Audio segmentation is one of the stages in audio processing chain whose accuracy plays a primary role in the final performance of the audio recognition and processing tasks. This paper presents an analysis of auditory features for audio segmentation. A set of features is derived from a time-frequency representation of an input signal and has been calculated based on properties of human auditory system. An analysis of several sets of audio features efficiency for BIC-based audio segmentation has been performed. The obtained results show that auditory features derived from different frequency scales are competitive to the widely usedMFCC feature in terms of accuracy and the number of detected points.

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Paper citation in several formats:
Maka, T. (2014). Auditory Features Analysis for BIC-based Audio Segmentation.In Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014) ISBN 978-989-758-046-8, pages 48-53. DOI: 10.5220/0005063800480053

@conference{sigmap14,
author={Tomasz Maka.},
title={Auditory Features Analysis for BIC-based Audio Segmentation},
booktitle={Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)},
year={2014},
pages={48-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005063800480053},
isbn={978-989-758-046-8},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)
TI - Auditory Features Analysis for BIC-based Audio Segmentation
SN - 978-989-758-046-8
AU - Maka, T.
PY - 2014
SP - 48
EP - 53
DO - 10.5220/0005063800480053

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