A comparative study on recent neural spoofing countermeasures for synthetic speech detection
X Wang, J Yamagishi - arXiv preprint arXiv:2103.11326, 2021 - arxiv.org
A great deal of recent research effort on speech spoofing countermeasures has been
invested into back-end neural networks and training criteria. We contribute to this effort with …
invested into back-end neural networks and training criteria. We contribute to this effort with …
Advances in anti-spoofing: from the perspective of ASVspoof challenges
In recent years, automatic speaker verification (ASV) is used extensively for voice biometrics.
This leads to an increased interest to secure these voice biometric systems for real-world …
This leads to an increased interest to secure these voice biometric systems for real-world …
Gaussian-filtered high-frequency-feature trained optimized BiLSTM network for spoofed-speech classification
Voice-controlled devices are in demand due to their hands-free controls. However, using
voice-controlled devices in sensitive scenarios like smartphone applications and financial …
voice-controlled devices in sensitive scenarios like smartphone applications and financial …
Towards vulnerability analysis of voice-driven interfaces and countermeasures for replay attacks
Fake audio detection is expected to become an important research area in the field of smart
speakers such as Google Home, Amazon Echo and chatbots developed for these platforms …
speakers such as Google Home, Amazon Echo and chatbots developed for these platforms …
A survey on replay attack detection for automatic speaker verification (ASV) system
In this paper, we present a brief survey of various approaches used to detect replay attack
for Automatic Speaker Verification (ASV) system. The replay spoofing attack is the most …
for Automatic Speaker Verification (ASV) system. The replay spoofing attack is the most …
[PDF][PDF] Auditory Filterbank Learning for Temporal Modulation Features in Replay Spoof Speech Detection.
In this paper, we present a standalone replay spoof speech detection (SSD) system to
classify the natural vs. replay speech. The replay speech spectrum is known to be affected in …
classify the natural vs. replay speech. The replay speech spectrum is known to be affected in …
Parkinson's disease detection from speech using single frequency filtering cepstral coefficients
Parkinson's disease (PD) is a progressive deterioration of the human central nervous
system. Detection of PD (discriminating patients with PD from healthy subjects) from speech …
system. Detection of PD (discriminating patients with PD from healthy subjects) from speech …
A practical guide to logical access voice presentation attack detection
X Wang, J Yamagishi - Frontiers in Fake Media Generation and Detection, 2022 - Springer
Voice-based human-machine interfaces with an automatic speaker verification (ASV)
component are commonly used in the market. However, the threat from presentation attacks …
component are commonly used in the market. However, the threat from presentation attacks …
Detection of replay spoof speech using teager energy feature cues
Abstract The vulnerability of Automatic Speaker Verification (ASV) systems to spoofing or
presentation attacks is still an open security issue. In this context, replay spoofing attacks …
presentation attacks is still an open security issue. In this context, replay spoofing attacks …
Countermeasures to replay attacks: A review
Replay attack is an attempt of using pre-recorded speech samples of any target for acquiring
unauthorized access to the automatic speaker verification (ASV) system. It is a low …
unauthorized access to the automatic speaker verification (ASV) system. It is a low …