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Speaker Recognition Of Maghreb Dialects

Authors: Leila Beltaifa - Zouari *1, Asma Chayeh 2;

Speaker Recognition Of Maghreb Dialects

Abstract

A few studies have focused on the west Arabic (Maghreb) dialects for which resources are rare. To handle this problem, we devoped a web-based database of speech from Tunisian, Algerian and Moroccan speakers covering the diversity of Arabic dialects spoken in north Africa. Then speaker identification and verification experiments have been conducted in order to evaluate the performance of each dialect-based system. A baseline system using Timit database have also be developed for comparison purposes. The experiments show that the performances of dialectal speaker identification systems outperform those of the baseline identification system. The dialectal speaker verification systems performances are less better than the Timit-based sytem but are close to each other.

Keywords

Arabic Dialects, Gaussian Mixture Models, Maghreb database, MFCC, Speaker recognition.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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