Effects of co-channel speech on speaker identification

摘要

Past studies have shown that speaker identification (SID) algorithms that utilize LPC cepstral feature and a vector quantization classifier can be sensitive to changes in environmental conditions. Many experiments have examined the effects of noise on the LPC cepstral feature. This work studies the effects of co-channel speech on a speaker identification (SID) system. It has been found that co-channel interference will degrade the performance of a speaker identification system, but not significantly when compared to the effects of wideband noise on an SID system. Our results show that when the interfering speaker is modeled as one of the speakers within the training set, it has less of an effect on the performance of an SID system than when the interfering speaker is outside the set of modeled speakers.