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International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.5, No.9, Jul. 2013

Kannada Language Parameters for Speaker Identification with The Constraint of Limited Data

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Author(s)

Nagaraja B.G.,H.S. Jayanna

Index Terms

Speaker identification, monolingual, crosslingual, multilingual, language parameters, Kannada

Abstract

In this paper we demonstrate the impact of language parameter variability on mono, cross and multi-lingual speaker identification under limited data condition. The languages considered for the study are English, Hindi and Kannada. The speaker specific features are extracted using multi-taper mel-frequency cepstral coefficients (MFCC) and speaker models are built using Gaussian mixture model (GMM)-universal background model (UBM). The sine-weighted cepstrum estimators (SWCE) with 6 tapers are considered for multi-taper MFCC feature extraction. The mono and cross-lingual experimental results show that the performance of speaker identification trained and/or tested with Kannada language is decreased as compared to other languages. It was observed that a database free from ottakshara, arka and anukaranavyayagalu results a good performance and is almost equal to other languages.

Cite This Paper

Nagaraja B.G.,H.S. Jayanna,"Kannada Language Parameters for Speaker Identification with The Constraint of Limited Data", IJIGSP, vol.5, no.9, pp.14-20, 2013.DOI: 10.5815/ijigsp.2013.09.03

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