Speech Recognition System Base on Linear Predictive Coding (LPC) and Hidden Markov Model (HMM) Using Matlab for Speaker Identification

hey aku disini show_detail Speech Recognition System Base on Linear Predictive Coding (LPC) and Hidden Markov Model (HMM) Using Matlab for Speaker Identification Andriana Primary Author Zurkarnain Primary Author Barmawi Primary Author mixed material bibliography Universitas Negeri Semarang Prosiding Engineering International Conference 2013 2013 monographic en English The number of pages of the book is 6 pages System Speech Recognition is a recognition process using MatLab that can identify a person with voice processing. The basic purpose of the study was to identify and classify the utterances of different people. Identification to know who is saying these words is by matching the characteristics of speech in the database with the input utterance. Characteristics of speech can be distinguished by extraction with a coding technique, a fundamental frequency (pitch), formant and energy. Coding techniques commonly used by the National Institute of Standards Technology (NIST) in the lawyer-ekstraksian speech signal is LPC (Linier Predictiv Coding). Unique identity of each person can be identified using a statistical model of hidden Markov model (HMM). Speaker Recognition 600 Repository Fakultas Teknik Sistem Repository Elektronik Skripsi dan Penelitian Dosen Fakultas Teknik Speech Recognition System Base on Linear Predictive Coding (LPC) and Hidden Markov Model (HMM) Using Matlab for Speaker Identification 917 2023-01-10 17:57:39 2023-01-10 17:57:39 machine generated