Like any other biometric systems, Automatic Speaker Verification (ASV) systems are also
vulnerable to the spoofing attacks. Hence, it is important to develop the countermeasures in …

Automatic speech recognition (ASR) plays a crucial role in facilitating natural and efficient
human–computer interaction. This paper offers a comprehensive review of ASR systems …

The ability to distinguish between authentic and fake audio is become increasingly difficult
due to the increasing accuracy of text-to-speech models, posing a serious threat to speaker …

Audio impersonation attacks offer a substantial risk to voice-based authentication systems
and various speech recognition applications. Hence, there is a requirement for robust …

With the increasing adoption of voice-based authentication systems, the threat of audio
spoofing attacks has become a significant concern. These attacks aim to deceive voice …

In recent times, the Automatic Speaker Verification (ASV) systems have been gaining
popularity among biometric systems. Feature extraction technique, classification model, and …

In the last three decades, a lot of work has been done for building Automatic Speech
Recognition (ASR) systems for well-established languages such as English, Chinese, etc …

The rapid expansion of voice-based technologies across diverse applications underscores
the critical need for robust security measures against audio spoofing attacks. This paper …

Abstract In recent times, Voice Controlled Devices (VCD) have become an important part of
our life. However, these devices are vulnerable to replay attacks. Hence, to address the …

Abstract Automatic Speech Recognition (ASR) is the process of converting auditory signals
into text representations of spoken words. In recent years, advancements in deep learning …