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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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| Veröffentlicht in: | Springerplus |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer International Publishing
2014
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| Schlagworte: | |
| Online Zugang: | 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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