Text independent speaker recognition using speaker dependent word spotting

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 Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker-dependent Speech Recognition Based on Phone-like Units Models | Application to Voice Dialing

This paper presents a speaker dependent speech recognition with application to voice dialing. This work has been developed under the constraints imposed by voice dialing applications, i.e., low memory requirements and limited training material. Two methods for producing speaker dependent word baseforms based on Phone Like Units (PLU) are presented and compared : (1) a classical vector quantizer...

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...