[PDF][PDF] A review on state-of-the-art Automatic Speaker verification system from spoofing and anti-spoofing perspective

A Chadha, A Abdullah… - Indian Journal …, 2021 - sciresol.s3.us-east-2.amazonaws …
Abstract Background/Objectives: The anti-spoofing measures are blooming with an aim to
protect the Automatic Speaker Verification systems from susceptible spoofing attacks. This …

[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 …

Analysis of reverberation via teager energy features for replay spoof speech detection

MR Kamble, HA Patil - ICASSP 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
The Automatic Speaker Verification (ASV) systems are vulnerable to spoofing attacks.
Detecting replay attack is the challenging Spoof Speech Detection (SSD) task, as several …

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 …

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 …

Novel adaptive generative adversarial network for voice conversion

M Patel, M Parmar, S Doshi, NJ Shah… - 2019 Asia-Pacific …, 2019 - ieeexplore.ieee.org
Voice Conversion (VC) converts the speaking style of a source speaker to the speaking style
of a target speaker by preserving the linguistic content of a given speech utterance …

Teager energy subband filtered features for near and far-field automatic speech recognition

MR Kamble, S Nayak, MAB Shaik… - 2021 Asia-Pacific …, 2021 - ieeexplore.ieee.org
Automatic Speech Recognition (ASR) usually works well with close-talking microphone
environment rather than in far-field conditions. A major challenge in the far-field ASR …

Combination of amplitude and frequency modulation features for presentation attack detection

MR Kamble, HA Patil - Journal of Signal Processing Systems, 2020 - Springer
In this paper, we propose the combination of Amplitude Modulation and Frequency
Modulation (AM-FM) features for replay Spoof Speech Detection (SSD) task. The AM …

[PDF][PDF] Forensic Perspective on Voice Biometrics and AI: A Review

P Jain, P Ujjainia, A Srivastava, K Shrivastav, I Rani… - 2024 - researchgate.net
Modern internet has given rise to various voice related crimes worldwide, notably deepfake
voice scams where the perpetrators utilize artificial intelligence to deceive victims by the …