Bootstrapping for speaker recognition

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation

A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speech recognition for multiple non-native accent groups with speaker-group-dependent acoustic models

In this paper, the recognition performance for non-native English speech with two different kinds of speaker-groupdependent acoustic models is investigated. The approaches for creating speaker groups include knowledge-based grouping of non-native speakers by their first language, and the automatic clustering of speakers. Clustering is based on speakerdependent acoustic models in speaker Eigensp...

Speaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation

A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...