Investigation of Sub-Band Discriminative Information Between Spoofed and Genuine Speech

@inproceedings{Sriskandaraja2016InvestigationOS,
  title={Investigation of Sub-Band Discriminative Information Between Spoofed and Genuine Speech},
  author={Kaavya Sriskandaraja and Vidhyasaharan Sethu and Phu Ngoc Le and Eliathamby Ambikairajah},
  booktitle={INTERSPEECH},
  year={2016}
}
A speaker verification system should include effective precautions against malicious spoofing attacks, and although some initial countermeasures have been recently proposed, this remains a challenging research problem. This paper investigates discrimination between spoofed and genuine speech, as a function of frequency bands, across the speech bandwidth. Findings from our investigation inform some proposed filter bank design approaches for discrimination of spoofed speech. Experiments are… CONTINUE READING

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Key Quantitative Results

  • Experiments are conducted on the Spoofing and Anti-Spoofing (SAS) corpus using the proposed frequency-selective approach demonstrates an 11% relative improvement in terms of equal error rate compared with a conventional mel filter bank.

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