Isolated English alphabet speech recognition using wavelet cepstral coefficients and neural network
Speech recognition has many applications in various fields. One of the most important phase in speech recognition is feature extraction. In feature extraction relevant important information from the speech signal are extracted. However, two important issues that affect feature extraction are noise r...
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| Format: | Thesis |
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2014-03.
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| Online Access: | Get fulltext |