Text-constrained Speaker Recognition Using Hidden Markov Models

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

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

Text-constrained speaker recognition on a text-independent task

We present an approach to speaker recognition in the textindependent domain of conversational telephone speech using a text-constrained system designed to employ select highfrequency keywords in the speech stream. The system uses speaker word models generated via Hidden Markov Models (HMMs) — a departure from the traditional Gaussian Mixture Model (GMM) approach dominant in text-independent wor...

Speaker Identification in the Shouted Environment Using Suprasegmental Hidden Markov Models

In this paper, Suprasegmental Hidden Markov Models (SPHMMs) have been used to enhance the recognition performance of text-dependent speaker identification in the shouted environment. Our speech database consists of two databases: our collected database and the Speech Under Simulated and Actual Stress (SUSAS) database. Our results show that SPHMMs significantly enhance speaker identification per...

Speaker Recognition using keyword Hidden Markov Models and Support vector machines

New approaches to speaker and background model training have given rise to many recent developments in speaker recognition. Recently, various text-dependent approaches have surfaced, including a keyword Hidden Markov Models (HMM) approach [1]. This approach also deviates from the traditional bag-offrames approach by taking into account relationships in time among acoustic features for different...