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Speaker recognition system based on fusion of cochlear filter cepstral coefficients and Teager energy operator phase(PDF)


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Speaker recognition system based on fusion of cochlear filter cepstral coefficients and Teager energy operator phase
Mao ZhengchongWang Junjun
Key Laboratory of Advanced Process Control for Light Industry,Ministry of Education, Jiangnan University,Wuxi 214122,China
energy operator cochlear filter cepstral coefficient Gaussian mixture model-universal background model speaker recognition
In order to improve the performance of speaker recognition system,this paper proposes a method of compensating auditory cepstrum features by using phase features based on traditional features. In this method,Teager energy operator(TEO)can truly reflect the model of the eddy current nonlinearity caused by the airflow in the channel system. The Hilbert transform is used to derive the instantaneous phase information of the analyzing signal from TEO. The fusion characteristic parameters are obtained by combining with cochlear filter cepstral coefficients(CFCC). It realizes the compensation of characteristic parameters and improves the recognition rate of speaker recognition system. The NIST-2002 speakers recognition evaluation(SRE)database is used to experiment with the Gaussian mixture model-universal background model(GMM-UBM)speaker recognition system. The experimental results show that the combination of the TEO phase and CFCC is better than the CFCC alone,and its recognition accuracy is improved by 8.32% and 3.15%,respectively,compared with the existing CFCC characteristics and linear prediction Meyer frequency cepstral coefficient(LPMFCC). This indicates that the TEO phase contains the information that is complementary to the CFCC feature and has a high recognition rate.


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Last Update: 2018-02-28