Design of MFCC Feature Extraction Based on Adaptive Mel Filter Banks for SOC Appliacation
[1]TAO Bairui,GUo Qin,MIAO Fengjuan,et al.Design of MFCC Feature Extraction Based on Adaptive Mel Filter Banks for SOC Appliacation[J].Journal of Zhengzhou University (Engineering Science),2016,37(03):11-.[doi:10.13705/j.issn.1671-6833.2016.03.003]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
37
Number of periods:
2016 03
Page number:
11-
Column:
Public date:
2016-05-10
- Title:
- Design of MFCC Feature Extraction Based on Adaptive Mel Filter Banks for SOC Appliacation
- CLC:
- TP391.42
- Abstract:
- The accuracy of characteristic parameter and pattern recognition rate among speaker voiceprint au-thentication technologies are important. In this paper, adaptive Mel filter banks are designed after the recogni-tion of the gender, and the SOC ( system-on-chip )design of high efficiency speaker voiceprint feature extrac-tion is completed on the EP2C35F672C6 development board of Alteras DE2 series. First of all，two low-passfilters cutoff frequency of 200 Hz and 400 Hz are designed to complete the pitch frequency detection of maleand female students. Then, the parameters of Mel filter banks are calculated by the highest frequency deducedfrom the frequency range of speech spectrum. Then, Verilog-HDL code encapsulated as lP core for SOC de-sign, compilation, simulation, and download authentication are finished on the Quartus ll platform. The re-sults show that adaptive Mel filter banks can improve both the accuracy of characteristic parameters and thespeed of recognition.
- References:
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