Advances in anti-spoofing: from the perspective of ASVspoof challenges

MR Kamble, HB Sailor, HA Patil, H Li - APSIPA Transactions on …, 2020 - cambridge.org
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 …

When the differences in frequency domain are compensated: Understanding and defeating modulated replay attacks on automatic speech recognition

S Wang, J Cao, X He, K Sun, Q Li - Proceedings of the 2020 ACM …, 2020 - dl.acm.org
Automatic speech recognition (ASR) systems have been widely deployed in modern smart
devices to provide convenient and diverse voice-controlled services. Since ASR systems are …

[PDF][PDF] Effectiveness of Speech Demodulation-Based Features for Replay Detection.

MR Kamble, H Tak, HA Patil - Interspeech, 2018 - researchgate.net
Replay attack presents a great threat to Automatic Speaker Verification (ASV) system. The
speech can be modeled as amplitude and frequency modulated (AM-FM) signals. In this …

Detection of replay spoof speech using teager energy feature cues

MR Kamble, HA Patil - Computer Speech & Language, 2021 - Elsevier
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 …

Towards improving synthetic audio spoofing detection robustness via meta-learning and disentangled training with adversarial examples

Z Wang, JHL Hansen - IEEE Access, 2024 - ieeexplore.ieee.org
Advances in automatic speaker verification (ASV) promote research into the formulation of
spoofing detection systems for real-world applications. The performance of ASV systems can …

Amplitude and frequency modulation-based features for detection of replay spoof speech

MR Kamble, H Tak, HA Patil - Speech Communication, 2020 - Elsevier
Replay attack poses a great threat to the Automatic Speaker Verification (ASV) system. This
paper introduces Amplitude Modulation and Frequency Modulation-based features for …

Improving spoofing capability for end-to-end any-to-many voice conversion

H Hua, Z Chen, Y Zhang, M Li, P Zhang - Proceedings of the 1st …, 2022 - dl.acm.org
Audio deep synthesis techniques have been able to generate high-quality speech whose
authenticity is difficult for humans to recognize. Meanwhile, many anti-spoofing systems …

Novel amplitude weighted frequency modulation features for replay spoof detection

MR Kamble, HA Patil - 2018 11th International Symposium on …, 2018 - ieeexplore.ieee.org
In this paper, we propose the use of Amplitude Modulation and Frequency Modulation (AM-
FM) features for replay detection task. In AM-FM signal, AM component is known to be …

Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples

Z Wang, JHL Hansen - arxiv preprint arxiv:2408.13341, 2024 - arxiv.org
Advances in automatic speaker verification (ASV) promote research into the formulation of
spoofing detection systems for real-world applications. The performance of ASV systems can …

Effectiveness of Mel Scale-Based ESA-IFCC Features for Classification of Natural vs. Spoofed Speech

MR Kamble, HA Patil - Pattern Recognition and Machine Intelligence: 7th …, 2017 - Springer
The performance of biometric systems based on Automatic Speaker Verification (ASV)
degrades due to spoofing attacks, generated using different speech synthesis (SS) and …