Exploring subsegmental and suprasegmental features for a text-dependent speaker verification in distant speech signals

Exploring Features for Text-dependent Speaker Verification in Distant Speech Signals

Automatic speaker verification (ASV) is the task of verifying a person’s claimed identity from his/her voice using a digital computer. The existing ASV systems perform with high accuracy of verification when the speech signal is collected close to the mouth of the speaker (< 1 ft). However, the performance of the ASV systems reduces significantly for speech signals collected at a distance from ...

Subsegmental, Segmental and Suprasegmental Features for Speaker Recognition Using Gaussian Mixture Model

In the feature extraction stage, features representing speaker information are extracted from the speech signal. In the present study LP residual derived from the speech data is used for training and testing and also processing of LP residual in time domain at subsegmental, segmental and suprasegmental levels. In the training phase, GMMs are built, one for each speaker, using the training data ...

Features for speaker and language identification

Abstract In this paper we examine several features derived from the speech signal for the purpose of identification of speaker or language from the speech signal. Most of the current systems for speaker and language identification use spectral features from short segments of speech. There are additional features which can be derived from the residual of the speech signal, which correspond to th...

Subsegmental, Segmental and Suprasegmental Features for Speaker Recognition Using Ergodic Hidden Markov Model

Speaker verification based on the fusion of speech acoustics and inverted articulatory signals

We propose a practical, feature-level and score-level fusion approach by combining acoustic and estimated articulatory information for both text independent and text dependent speaker verification. From a practical point of view, we study how to improve speaker verification performance by combining dynamic articulatory information with the conventional acoustic features. On text independent spe...