A method of speaker identification based on phoneme mean F-ratio contribution
نویسندگان
چکیده
This paper proposes a new method for speaker identification, which based on the non-uniformly distributed speaker information in frequency bands. In order to discard the linguistic information effectively, in this study, we adopt an improved Fisher’s F-ratio called the phoneme mean F-ratio to measure the dependences between frequency components and individual characteristics. Then we adopt an adaptive frequency filter to extract more discriminative feature. The experiment shows that the error rate using the proposed feature is reduced by 28.5% compared with the F-ratio feature, and reduced by 68.02% compared with the MFCC feature. The results confirmed that emphasizing the features from highly individual dependent frequency bands is valid for improving speaker recognition performance.
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