DocumentCode
3702101
Title
Palestinian Arabic regional accent recognition
Author
Abualsoud Hanani;Hanna Basha;Yasmeen Sharaf;Stephen Taylor
Author_Institution
Electrical and Computer Engineering, Birzeit University, Ramallah, Palestine
fYear
2015
Firstpage
1
Lastpage
6
Abstract
We attempt to automatically recognize the speaker´s accent among regional Arabic Palestinian accents from four different regions of Palestine, i.e. Jerusalem (JE), Hebron (HE), Nablus (NA) and Ramallah (RA). To achieve this goal, we applied the state of the art techniques used in speaker and language identification, namely, Gaussian Mixture Model - Universal Background Model (GMM-UBM), Gaussian Mixture Model - Support Vector Machines (GMM-SVM) and I-vector framework. All of these systems were trained and tested on speech of 200 speakers. GMM-SVM and I-vector systems outperformed the baseline GMM-UBM system. The best result (accuracy of 81.5%) was obtained by an I-vector system with 64 Gaussian components, compared to an accuracy of 73.4% achieved by human listeners on the same testing utterances.
Publisher
ieee
Conference_Titel
Speech Technology and Human-Computer Dialogue (SpeD), 2015 International Conference on
Type
conf
DOI
10.1109/SPED.2015.7343088
Filename
7343088
Link To Document