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An investigation of spoofing speech detection under additive noise and reverberant conditions


Authors: X. Tian, Z. Wu, X. Xiao, E. S. Chng, and H. Li
Title: An investigation of spoofing speech detection under additive noise and reverberant conditions
Abstract: Spoofing detection for automatic speaker verification (ASV), which is to discriminate between live and artificial speech, has received increasing attentions recently. However, the previous studies have been done on the clean data without significant noise. It is still not clear whether the spoofing detectors trained on clean speech can generalise well under noisy conditions. In this work, we perform an investigation of spoofing detection under additive noise and reverberant conditions. In particular, we consider five difference additive noises at three different signal-to-noise ratios (SNR), and a reverberation noise with different reverberation time (RT). Our experimental results reveal that additive noises degrade the spoofing detectors trained on clean speech significantly. However, the reverberation does not hurt the performance too much.
Keywords: Spoofing detection; Noisy database; Additive noise; Reverberation; Phase-based feature
Conference Name: 17th Annual Conference of the International Speech Communication Association (INTERSPEECH’16)
Location: San Francisco, USA
Publisher: ISCA
Year: 2016
Accepted PDF File: An_investigation_of_spoofing_speech_detection_under_additive_noise_and_reverberant_conditions_accepted.pdf
Permanent Link: https://dx.doi.org/10.21437/Interspeech.2016-743
Reference: X. Tian, Z. Wu, X. Xiao, E. S. Chng, and H. Li, “An investigation of spoofing speech detection under additive noise and reverberant conditions,” in Proceedings of the 17th Annual Conference of the International Speech Communication Association (INTERSPEECH’16). ISCA, September 2016, pp. 1715–1719.
bibtex: 
@inproceedings{LILY-c101, 
    author	= {Tian, Xiaohai and Wu, Zhizheng and Xiao, Xiong and Chng, Eng Siong and Li, Haizhou},
    title	= {An investigation of spoofing speech detection under additive noise and reverberant conditions},  
    booktitle	= {Proceedings of the 17th Annual Conference of the International Speech Communication Association (INTERSPEECH'16)}, 
    year		= {2016}, 
    month	= {September}, 
    pages	= {1715-1719}, 
    location	= {San Francisco, USA},
    publisher	= {ISCA},
 }