speaker recognition

Speaker recognition is an important part of the speech signal processing. It is one of the current research hotspots.

Gaussian mixture model(GMM) has been widely used for text-independent speaker recognition. This method has simple and efficient character.

One of the key problems is to find an efficient speaker characteristic parameter for the text-independent speaker recognition.

This paper starts around the construction of Gauss Mixture Model (GMM) speaker recognition system.

Speech recognition includes speaker recognition, conjunction word recognition and isolated word recognition.

Speaker recognition, also known as voiceprint recognition, is a kind of technology using test voice to identify who the speaker is.

This paper proposes a method to improve the algorithm of forming code books , and apply it to text-independent speaker recognition.

Absrtact: Speaker recognition is regarded as a kind of voice recognition. It is one of the current research hotspots.

Speaker recognition can also be divided into text-dependent and text-independent methods.

Comparison of the parameters for speaker recognition performance of the pros and cons.

According to the character of the modern communication system, we propose a new framework of speaker recognition in speech coding domain.

Experimental results show that using SVM-GMM model can improve the open-set speaker recognition rate effectively.

In this thesis, the research of speaker recognition technology is thoroughly discussed.

The results of evaluation also proved the validity of the multi-speaker recognition and the real-value mask estimation module.

Research work is centered on text-independent speaker recognition system.

Paper's research contents concentrate on the strategy of speaker recognition.

Hidden Markov Model is the mainstream algorithm in the filed of speaker recognition.

All of works are extended for text-independent open-set speaker recognition in noisy environment.

To resolve the problem of how to find the special voice in lots of speech, the police explore to use the speaker recognition technology.

This paper proposed a MFCC feature extraction method based on pitch period to improve the performance of speaker recognition.

A speaker recognition algorithm based on harmonic spectrum reconstruction of voiced speech is proposed.

This paper sets up a new Support Vector Machine-Gussian Mixture Model(SVM-GMM) to improve speaker recognition rate based on open-set.

The modern technology of Biometrics consists of face recognition, fingerprint recognition, speaker recognition and so on.

It is mainly about a text-dependent speaker recognition system based on vector quantification (VQ) methods.

In the SVM-based speaker recognition system study, it is important to obtain a ideal recognition rate.

This paper introduces a kind of arithmetic of speaker recognition based on VQ algorithm.

Realization of a Text-independent Speaker Recognition System Using Frame Likelihood Transformation

Comparative Study of Continuous Hidden Markov Models and Artificial Neural Network on Speaker Recognition

Realization of a Text-Independent Speaker Recognition System Using Frame Transformation

Design and Implementation of a Certain Text-dependent Speaker-recognition System

Speaker recognition likelihood score compensation transformation under model mismatch

Investigation of the Relationship between the Length ofTesting Speech and the Accuracy of Speaker Recognition

Technique of Speaker Recognition and Its Application on Automatic Control System

Further Feature Extraction and Its Application on Speaker Recognition

Development of Channel Compensation Technology and Its Application to Speaker Recognition

Design and implementation of a speaker recognition system

Study of feature extraction methods in speaker recognition

Application of Speaker Recognition Technology in Intelligent Buildings

A Study of Feature Extraction Methods in Speaker Recognition

Research of Text-Independent Speaker Recognition Using Clustering Statistic

Design and Investigation About a Text-independent Speaker Recognition System

Implementation of Speaker Recognition Module for Automatic Factory Control System

A Modified Clustering Algorithm and Its Application for Speaker Recognition

Research on Text-Independent Speaker Recognition Methods Using Wavelet Neural Network

Speaker Recognition Application in Information Course and VQ Algorithm Research

Robust Speaker Recognition Using Auditory Masking Thresholds

Direct Cepstral Coefficient Weighting GMM for Robust Speaker Recognition

Utterance level feature based fast speaker recognition algorithm with realization by DSP

Study and Simulation of the Acoustic Features in Speaker Recognition System

Application of vector quantification in speaker recognition

Research on Speech Segmentation Algorithm in Speaker Recognition

The separability and application of pitch parameters in speaker recognition

Speaker Recognition Method Based on Genetic-Fuzzy Clustering Analysis and its Simulation Study

Implementation of Speaker Recognition Algorithm in Emulational Embedded System

On a Randomized Local Search Algorithm for Speaker Recognition

Feature extraction of speaker recognition system based on mathematical morphological filtering

Research on Speaker Recognition Under Noisy Environment

A Study on Speaker Recognition Using Orthogonal Gaussian Mixture Models

Study on Artificial Neural Network-Based Speaker Recognition

Speaker Recognition Based on Nonparametric Independent Component Analysis

Improved Algorithms of Fuzzy C-mean Clustering for Speaker Recognition

Application and Research of Hidden Markov Model in Speaker Recognition

Using MCE Algorithm to Improve the Performance of Speaker Recognition

Robust Speaker Recognition in Noisy Environment

Study on automatic speaker recognition of disguised voices

Research on Hierarchical Speaker Recognition Based on Speaker Clustering Technology

Vector quantization technology based on clustering features in speaker recognition

Realization of an automatic speaker recognition system based on VQ methods

Speaker recognition by special phonemes

Speaker recognition technology based on cepstral coefficients weight

Study on Speaker Recognition under Noise Environment Based on Probability DP Matching Algorithm

An Improved Speaker Recognition System

A Robust Mel-Subband Based Speaker Recognition System

Realization of Speaker Recognition System Based on Probability DP Matching Algorithm with DSP

Research and Development of Speaker Recognition System

Speaker recognition based on sub-band processing and multi-classifier combination

Text-independent speaker recognition based on combined neural network

Speaker Recognition Based on Adaptive Niche Hybrid Genetic Algorithms

A Speaker Recognition System Based on Vector Quantization of Combinatorial

HNSSM Channel compensation technique HNSSM for speaker recognition

Text-independent Speaker Recognition Based on Improved VQ Algorithm

Application of LS-SVM in Speaker Recognition

Real-time Speaker Recognition System for PDA

Text-independent Speaker Recognition Based on KL-wavelet Packet Analysis

A New Feature Selection method Based on Wavelet Packet Transform for Speaker Recognition

A Real Time Speaker Recognition System Based on GMM

Speaker recognition based on wavelet transform and neural networks

Speaker Recognition Research Based on Support Vector Machine

An Initialization Method of GMM Speaker Recognition Model based on Time Warping Network

A Speaker Recognition System Based on Wavelet Packet Analysis Features

Speaker Recognition Based on Vector Quantization

Study on VQ-based speaker recognition

Speaker recognition system based on Gaussian mixture model

An Automatic Volume Control System Based on Speaker Recognition

The Realization of the Speaker Recognition System Based on VQ

Speaker Recognition Technology Based on Lip Movement

Speaker recognition based on hybrid model of wavelet neural network

Research of Speaker Recognition Based on Modified EM Algorithm

Speaker recognition based on wavelet transform

The study of speaker recognition algorithm and it implementation on SOC

Speaker recognition based on Bayesian network

Studies on Speaker Recognition Based on Complexity

A Speaker Recognition Method Based on Modified VQ Algorithm

Speaker Recognition Based on Speech Coding Bit Stream

Speaker Recognition Technology Based on VQ

A Speaker Recognition Algorithm Based on NAPS Kernel-SVM

The Text-independent Speaker Recognition Algorithm Based on ARVM

Research on the Speaker Recognition System Based on VQ

Speaker Recognition Based on Adapted Wavelet Threshold and GTEO

Speaker Recognition System Based on MFCC and LSSVM

Research on Speaker Recognition Based on MVQM

The Study on Speaker Recognition Technology Based on Internet