A Text-Independent Speaker Recognition System

Text-independent Speaker Recognition by Trajectory Space Comparison

We present the principle of trajectory space comparison for text-independent speaker recognition and some solutions to the space comparison problem based on vector quantization. The comparison of recognition rate of diierent solutions is reported. Experimental system achieved 99.5% text-independent speaker recognition rate for 23 speakers, using 5 phrases for training and 5 for test. A speaker-...

PO1-3 Text-Independent Speaker Recognition for Ubiquitous Robot Companion

This paper describes text-independent speaker recognition system which is basic and essential for interaction between users and the robot in Ubiquitous Robot Companion environment. For comfortable interaction between users and the robot, we implement an online speaker enrollment module which trains a GMM for each speaker model and text-independent speaker recognition module which consists of te...

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

Text independent speaker recognition using speaker dependent word spotting

This paper is motivated by the fact that text dependent speaker recognition is inherently more accurate than text independent speaker recognition. In this work we assign models to frequent words spoken by a speaker and spot them in a test call. In this way, text-dependent speaker recognition technology can be used for text independent tasks. The approach we take is to use DTW (Dynamic Time Warp...

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

Text-Independent Speech Recognition

Introduction Speaker identification is an area with many different applications. The most practical uses can be found in areas such as security, surveillance, and automatic transcription in a multispeaker environment. The goal of this project is to understand the development and implementation of a text-independent speaker recognition system. We will analyze the system by interpreting feature m...