Method of Temperament Accuracy Judgment and Intelligent Processing Based on Voiceprint Recognition
Abstract: Voiceprint
recognition is a kind of temperament recognition. It achieves judgment of
temperament through analysis of voiceprint. The traditional judgment method
usually recognizes the voiceprint directly,ignoring the influence of
environmental noise, sound variation and other factors in the process of recognition.
Study on the method of temperament accuracy judgment and intelligent processing
based on voiceprint recognition is proposed because the traditional method is
of low accuracy. The processincludes, extraction of voiceprint main features,
pretreatment of voiceprint for feature parameters, classification of the
voiceprint according to the feature parameters, getting the temperament feature
value through the Mel frequency cepstrum coefficient method, building the
vector quantization model, introducing hypersphere extremum method to extract
the sound signal features, applying LBG algorithm to classify the sound signal
features, and achieving the aim of judging the temperament accurately. The
experimentalresults show that the improved algorithm can effectively overcome
the environmental noise, effectively reduce the impact of noise and sound
variation, and improve the accuracy of temperament judgment.
Author: Xiaohua Yang
Journal Code: jptkomputergg160087
