Extracting Characteristics of Speaker’s Voice Harmonic Spectrum - Design of Human Voice Feature Extraction Technique

Oldrich Horák, Jan Capek

Abstract

This paper describes the design of a technique used to extract harmonic spectrum characteristics of human voice. The voice characteristic can be used for a speaker identification process. The cepstral analysis is the most popular method, which uses a Mel-Frequency Cepstral Coefficient vector as unique characteristics of given speaker voice. This method provides only limited reliability. The harmonic spectrum based on fundamental frequency of speaker’s voice can extend the characteristic vector by more values. The extended characteristics can provide better reliability of the speaker identification.

References

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Paper Citation


in Harvard Style

Horák O. and Capek J. (2013). Extracting Characteristics of Speaker’s Voice Harmonic Spectrum - Design of Human Voice Feature Extraction Technique . In Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013) ISBN 978-989-8565-68-6, pages 273-277. DOI: 10.5220/0004593502730277


in Bibtex Style

@conference{icsoft-ea13,
author={Oldrich Horák and Jan Capek},
title={Extracting Characteristics of Speaker’s Voice Harmonic Spectrum - Design of Human Voice Feature Extraction Technique},
booktitle={Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)},
year={2013},
pages={273-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004593502730277},
isbn={978-989-8565-68-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)
TI - Extracting Characteristics of Speaker’s Voice Harmonic Spectrum - Design of Human Voice Feature Extraction Technique
SN - 978-989-8565-68-6
AU - Horák O.
AU - Capek J.
PY - 2013
SP - 273
EP - 277
DO - 10.5220/0004593502730277