Voiceprint recognition method based on high-frequency and low-frequency dynamic and static characteristics

The invention relates to pattern recognition and voiceprint recognition, and provides a more robust voiceprint recognition method for sound signals, and the method provided by the invention can betterextract personalized characteristics containing more robustness, and finally obtains a better recognition result on a speaker recognition task. According to the technical scheme adopted by the invention, the voiceprint recognition method based on high-frequency and low-frequency dynamic and static characteristics defines the boundary frequency of high and low frequencies to be 2.5 kHz; on the basis of a linear-frequency cepstral coefficients (LFCC) and a logarithm energy spectrum basic process, for high frequency and low frequency, two trapezoidal filters are designed respectively, static characteristics of the low frequency and dynamic characteristics of the high frequency are extracted respectively and serve as input of a voiceprint recognition classifier, and finally a voiceprint recognition authentication res