New Method for Automatic Recognition of Mexican Indigenous Languages: Comparative Performance of Classifiers

Author:

Huerta-Hernández Luis DavidORCID,Ramírez-Pacheco Julio CesarORCID,Toral-Cruz HomeroORCID,Aloufi Khalid S.,de la Rosa Aguilar Oscar Alonso,León-Borges José AntonioORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference27 articles.

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2. Liu G, Lei Y, Hansen J. Dialect idenfitication: impact of differences between read versus sponateous speech. In: EUSIPCO2010: European Signal Processing Conference, p. 2003–6, 2010.

3. Ali A, Dehak N, Cardinal P, Khurana S, Glass J, Bell P, Renal S. Automatic dialect detection in Arabic broadcast speech. Proc Interspeech. 2016;2016:2934–8.

4. Zongze R, Guofu Y, Shugong X. Two-stage training for chinese dialect recognition. In: Proc. Interspeech 2019, 2019.

5. Gray S, Hansen J. An integrated approach to the detection and classification of accents/dialects for a spoken document retrieval system. In: IEEE ASRU-2006, p. 35–40, 2006.

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