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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...
Tallennettuna:
| Julkaisussa: | Springerplus |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer International Publishing
2014
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4320178/ https://ncbi.nlm.nih.gov/pubmed/25674450 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2193-1801-3-204 |
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