Assessment of single-channel speech enhancement techniques for speaker identification under mismatched conditions

@inproceedings{Sadjadi2010AssessmentOS,
  title={Assessment of single-channel speech enhancement techniques for speaker identification under mismatched conditions},
  author={Seyed Omid Sadjadi and John H. L. Hansen},
  booktitle={INTERSPEECH},
  year={2010}
}
It is well known that MFCC based speaker identification (SID) systems easily break down under mismatched train and test conditions. In this study, we report on evaluation of four different single-channel speech enhancement front-ends for robust SID under such conditions. Speech files from the YOHO database are corrupted with four types of noise including babble, car, factory, and white at five SNR levels (0–20 dB), and processed using four speech enhancement techniques representing distinct… CONTINUE READING
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