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 …

A survey on presentation attack detection for automatic speaker verification systems: State-of-the-art, taxonomy, issues and future direction

CB Tan, MHA Hijazi, N Khamis… - Multimedia Tools and …, 2021 - Springer
The emergence of biometric technology provides enhanced security compared to the
traditional identification and authentication techniques that were less efficient and secure …

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 …

Statnet: Spectral and temporal features based multi-task network for audio spoofing detection

R Ranjan, M Vatsa, R Singh - 2022 IEEE International Joint …, 2022 - ieeexplore.ieee.org
With the rise in mobile phone users and VoIP, voice has emerged as an easy and
accessible biometric modality for identification or verification tasks. Given the increasing …

[PDF][PDF] Auditory Filterbank Learning for Temporal Modulation Features in Replay Spoof Speech Detection.

HB Sailor, MR Kamble, HA Patil - Interspeech, 2018 - isca-archive.org
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 …

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 …

2. Unsupervised auditory filterbank learning for infant cry classification

HB Sailor, HA Patil - Acoustic Analysis of Pathologies, 2020 - degruyter.com
The infant cry classification is a socially relevant problem where the task is to classify the
normal versus pathological cry signals. Since the cry signals are very different from the …

Accent based model for speech spoofing countermeasures.

JA Hurtado Romero - 2023 - repositorio.uniandes.edu.co
Resumen en español Esta investigación se centra en el desarrollo de un sistema
antisuplantación robusto capaz de detectar con precisión diversos tipos de ataques de …

[PDF][PDF] Auditory representation learning

HB Sailor - 2018 - isca-students.org
Representation of a speech and audio signal based on human auditory processing is of
significant interest in develo** features for speech and audio processing applications [1] …