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This paper depicts a way of speech recognition of Assamese Isolated words in both speaker dependent and speaker independent cases by taking the parameters Zero Crossing Rate (ZCR), Short Time Energy (STE), and Mel Frequency Cepstral Coefficients (MFCC) that are extracted from the utterances of the Assamese words. The system builds with training pha...
Speech is a natural mode communication in our human lives. Speech conveys the information about words, speaker identity, expression, emotion, gender of the speaker. Now-a-days, both Speech and speaker recognitions are two most important and active research areas. In this paper, the features parameters Zero Crossing Rate (ZCR), Short-time Energy (ST...
2 Abstract: This paper proposes an approach to recognise Assamese speaking person using Artificial Neural Network Model. Speaker recognition is the process of Identification of the person who is speaking depending on the characteristics of his/her voices. The features Linear Predictive Coding (LPC), Mel-Frequency Cepstral Coefficient (MFCC) are use...