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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

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