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https://hdl.handle.net/10356/89625
Title: | An investigation of spoofing speech detection under additive noise and reverberant conditions | Authors: | Tian, Xiaohai Wu, Zhizheng Xiao, Xiong Chng, Eng Siong Li, Haizhou |
Keywords: | Spoofing Detection Noisy Database Engineering::Computer science and engineering |
Issue Date: | 2016 | Source: | Tian, X., Wu, Z., Xiao, X., Chng, E. S., & Li, H. (2016). An investigation of spoofing speech detection under additive noise and reverberant conditions. Interspeech 2016. doi:10.21437/Interspeech.2016-743 | Conference: | Interspeech 2016 | 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 signalto-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. | URI: | https://hdl.handle.net/10356/89625 http://hdl.handle.net/10220/50288 |
DOI: | 10.21437/Interspeech.2016-743 | Schools: | School of Computer Science and Engineering | Research Centres: | Temasek Laboratories | Rights: | © 2016 International Speech Communication Association (ISCA). All rights reserved. This paper was published in Interspeech 2016 and is made available with permission of International Speech Communication Association (ISCA). | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Conference Papers TL Conference Papers |
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An investigation of spoofing speech detection under additive noise and reverberant conditions.pdf | 140.52 kB | Adobe PDF | View/Open |
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