Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …

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 …

In this paper, an identification of a speaker for multimedia application under non-
electronically disguised voice is performed. In non-electronically disguised voice under …

The prevalence of voice spoofing attacks in today's digital world has become a critical
security concern. Attackers employ various techniques, such as voice conversion (VC) and …

Behavioral bio-metric authentication is considered as a promising approach to securing the
internet of things (IoT) ecosystem. In this paper, we investigated the need and suitability of …

Speaker identification for the speech signal processing request, determining the speaker is
a challenge due to physical variation. This paper emphasizes a new algorithm based on …

Personalized emotion recognition provides an individual training model for each target user
in order to mitigate the accuracy problem when using general training models collected from …

This thesis studies and implements voice biometric authentication system on Android smart
phone platform. Firstly, the characteristics of voice database and voice recognition and …

Spoken term detection (STD) can be considered a subpart of automatic speech recognition
that aims to extract partial information from speech signals in the form of query utterances. A …

Human voice or speech is a contactless, non-invasive biometric trait for human recognition,
easy to use with minimal computer complexity and inexpensive to implement. Speaker …