Speaker Identification with Short Sequences of Speech Frames

Giorgio Biagetti, Paolo Crippa, Alessandro Curzi, Simone Orcioni, Claudio Turchetti

2015

Abstract

In biometric person identification systems, speaker identification plays a crucial role as the voice is the more natural signal to produce and the simplest to acquire. Mel frequency cepstral coefficients (MFCCs) have been widely adopted for decades in speech processing to capture the speech-specific characteristics with a reduced dimensionality. However, although their ability to de-correlate the vocal source and the vocal tract filter make them suitable for speech recognition, they show up some drawbacks in speaker recognition. This paper presents an experimental evaluation showing that reducing the dimension of features by using the discrete Karhunen-Loève transform (DKLT), guarantees better performance with respect to conventional MFCC features. In particular with short sequences of speech frames, that is with utterance duration of less than 1 s, the performance of truncated DKLT representation are always better than MFCC.

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Paper Citation


in Harvard Style

Biagetti G., Crippa P., Curzi A., Orcioni S. and Turchetti C. (2015). Speaker Identification with Short Sequences of Speech Frames . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 178-185. DOI: 10.5220/0005191701780185


in Bibtex Style

@conference{icpram15,
author={Giorgio Biagetti and Paolo Crippa and Alessandro Curzi and Simone Orcioni and Claudio Turchetti},
title={Speaker Identification with Short Sequences of Speech Frames},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={178-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005191701780185},
isbn={978-989-758-077-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Speaker Identification with Short Sequences of Speech Frames
SN - 978-989-758-077-2
AU - Biagetti G.
AU - Crippa P.
AU - Curzi A.
AU - Orcioni S.
AU - Turchetti C.
PY - 2015
SP - 178
EP - 185
DO - 10.5220/0005191701780185