Abstract
Speaker Identification deals with the process of automatically recognizing the speaker based on his or her speaking one or more specific phrases, like passwords, PIN codes etc which acts as authenticator. Text Dependent Speaker Identification system makes use of mel frequency cepstrum coefficients to process the input signal and vector quantization approach to identify the speaker. Speech Recognition system is implemented using Linear Predictive Coding and Back Propagation technique of Hyperbolic Tangent Function under Artificial Neural Networks. The above tasks are implemented using MATLAB.
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Swamy, S., T., S., Nagabhushan, S.P., Nawaz, S., Ramakrishnan, K.V. (2012). Text Dependent Speaker Identification and Speech Recognition Using Artificial Neural Network. In: Krishna, P.V., Babu, M.R., Ariwa, E. (eds) Global Trends in Computing and Communication Systems. ObCom 2011. Communications in Computer and Information Science, vol 269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29219-4_19
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DOI: https://doi.org/10.1007/978-3-642-29219-4_19
Publisher Name: Springer, Berlin, Heidelberg
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