Tutorials speakers
Hemant A. Patil, Madhu R. Kamble · 2016
Speech is most powerful form of communication between humans and it carries various levels of information such as linguistic content, emotion, acoustic environment, language and the speaker's identity and health conditions, etc. Speaker recognition deals with the identification of speaker's identity with the help of machines. There are various research issues in speaker recognition such as variability in speaker microphone, intersession, as well as noise etc. In addition, one of the most challenging but practical research issue in this area is analysis of spoofmg attacks and development of various countermeasures. In this tutorial, we present analysis of various "Voice Biometric" spoofmg attacks. In particular, voice conversion and Speech Synthesis (SS). This tutorial presents in a coherent way of aspects such as Various types of spoofmg attacks,Relevant literature in this area, Speech database,Spoof Detection System, Feature pattern, classifiers, databases, performance measures.