DWT features performance analysis for automatic speech recognition of Urdu

This paper presents the work on Automatic Speech Recognition of Urdu language, using a comparative analysis for Discrete Wavelets Transform (DWT) based features and Mel Frequency Cepstral Coefficients (MFCC). These features have been extracted for one hundred isolated words of Urdu, each word uttere...

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Detalles Bibliográficos
Autores principales: Ali, Hazrat, Ahmad, Nasir, Zhou, Xianwei, Iqbal, Khalid, Ali, Sahibzada Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320178/
https://www.ncbi.nlm.nih.gov/pubmed/25674450
http://dx.doi.org/10.1186/2193-1801-3-204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320178/
https://www.ncbi.nlm.nih.gov/pubmed/25674450
http://dx.doi.org/10.1186/2193-1801-3-204

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