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 …

We present an integrated system with structural Gaussian mixture models (SGMMs) and a
neural network for purposes of achieving both computational efficiency and high accuracy in …

In the present chapter we concentrate on the exact solution methods for the Asymmetric TSP
proposed in the literature after the writing of the survey of [81]. In Section 2 two specific …

Abstract Extensive use of Intelligent Personal Assistants (IPA) and biometrics in our day-to-
day life asks for privacy preservation while dealing with personal data. To that effect, efforts …

Spoken language conversion is the challenge of using synthesis systems to generate
utterances in the voice of a speaker but in a language unknown to the speaker. Previous …

Gaussian mixture models (GMMs) have become an established means of modeling feature
distributions in speaker recognition systems. It is useful for experimentation and practical …

Abstract In American English, the liquid sounds/r/and/l/are the most articulatorily variable
and complex sounds. They can be produced by several distinct types of tongue …

This paper presents a new framework for designing a feature extractor in a speaker
identification system based on the discriminative feature extraction (DFE) method. In order to …

Alignment is a key step before learning a mapping function between a source and a target
speaker's spectral features in various state-of-the-art parallel data Voice Conversion (VC) …

The aim of this study is to provide a quantitative assessment of the speaker discriminating
properties of broad phonetic groups. GMM based approach to speaker modelling is used in …