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- W2187343732 abstract "Speech Recognition is the process of identifying words and phrase from spoken language and converts them in to machine readable format. This paper describes an approach of isolated words speech recognition by using Mel-Scale Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW). This ASR develops for large vocabulary. MFCC extract the features of spoken words speech signals. For database 100 isolated words are taken from Marathi language and recorded from 100 native speakers with 3 utterances. Dynamic Time Warping algorithm is used for the feature matching purpose. DTW algorithm measures similarity between two sequences, which may vary in speed or time." @default.
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- W2187343732 date "2015-09-25" @default.
- W2187343732 modified "2023-10-18" @default.
- W2187343732 title "Automatic Speech Recognition System Using MFCC And DTW For Marathi Isolated Words" @default.
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