GDL

Temperament Accuracy Judgment and Intelligent Processing Based on Voiceprint Recognition

Journal from gdlhub / 2016-11-09 06:43:32
Oleh : Xiaohua Yang, Xiaofei Zhu, Xiaowei Zhu, Telkomnika
Dibuat : 2016-06-01, dengan 1 file

Keyword : Voiceprint recognition, temperament accuracy, LabVIEW graphical programming
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/4378

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 process includes, 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 experimental results 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.

Deskripsi Alternatif :

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 process includes, 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 experimental results 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.

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	Telkomnika
Nama Kontak	Herti Yani, S.Kom
Alamat	Jln. Jenderal Sudirman
Kota	Jambi
Daerah	Jambi
Negara	Indonesia
Telepon	0741-35095
Fax	0741-35093
E-mail Administrator	elibrarystikom@gmail.com
E-mail CKO	elibrarystikom@gmail.com