Title Of Paper:
 
 
Speaker Verification System Improved by Mood Recognition System
Author's Name :  Safi Seyyed Mohammad, Aynehband Meghdad
KeyWords:  hidden Markov model, mode detection, speaker recognition.
Pages:  10 -20
Volume: 4
Issue: 4
Year: 2016
Abstract:
 

Identify users can be important problem in current systems; one of this techniques is based on its sound. Verification a person can be very sensitive and ate a lot of process.  This paper tries to provide a new method on emotion detection based by using HMM and achieves good results for accuracy.  Hidden Markov model is one of the most important models in speech and speaker recognition, that the several strong researches confirmed this method. This research attempts to recognize person based on the mathematical model of the emotional detection by recognizing its voice.

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