The research on Uighur speaker-dependent isolated word speech recognition

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

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

Closed-Set Speaker Identification Based on a Single Word Utterance: An Evaluation of Alternative Approaches

The problem of closed-set speaker identification based on a single spoken word from a limited vocabulary is relevant to several current and futuristic interactive multimedia applications. In this paper, we evaluate the effectiveness of several potential solutions using an isolated word speech corpus. In addition to evaluating the text-dependent and text-constrained variants of the Gaussian Mixt...

Speaker Dependent and Independent Isolated Hindi Word Recognizer using Hidden Markov Model (HMM)

Hindi is very complex language with large number of phonemes and being used with various ascents in different regions in India. In this manuscript, speaker dependent and independent isolated Hindi word recognizers using the Hidden Markov Model (HMM) is implemented, under noisy environment. For this study, a set of 10 Hindi names has been chosen as a test set for which the training and testing i...

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...