Voice Recognition Using Artificial Neural Network
نویسندگان
چکیده
Voice is the sound produced in a person's larynx and uttered through the mouth, as speech or song. Like finger prints and the iris of the eye the voice of each person is unique. The parameters of a person’s voice differ in pitch, timber and vocal intensity. Hence it can be authentication. In this paper feature extraction methods used are Linear Predictive Coding, Fast Fourier Transform and wavelet transform to extract the above mentioned features from a database of voices that were recorded. Artificial neural networ of classification. Some of the applications are Forensic applications, Artificial intelligence, Access Control, Transaction Authentication, Law Enforcement and Speech Data Management. Index Teams: ANN: Artificial Neural Wavelet Transform, FFT: Fast Fourier Transform
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