A study on Speaker Identification Using Spectral Ratio between Air-Transmitted Speech Sounds and Bone-Transmitted Speech Sounds

Abstract

A bone-conductive microphone which transforms bone-transmitted speech sounds through skull into electronic signals has two advantages. One is to operate in hands free mode, and another is to be anti-noise. Therefore, it is expected to match the man-machine interface for wearable computers.
Here, we examined and analyzed the possibility of a speaker identification system with the MFCC of air and bone-transmitted speech sounds to 5 Japanese vowels. This paper shows that the system using spectral ratio between air-transmitted speech sounds and bone-transmitted speech sounds gives better performance than the system using air-transmitted speech sounds.