An Algorithm for Language Independent Speaker Identification


Introduction

Imagine a world where you do not require your wallet to pay your bill just your voice is needed.Speaker recognition will most likely make it possible in near future .
Speaker Recognition is a behavioral biometric in which an individual is identified/verified on the basis of his voice.
In today's world where security is of prime most concern Speaker recognition provides ....etc

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to get information about the topic automatic speaker recognition text independent system related topic refer the page link bellow

http://seminarsprojects.net/Thread-automatic-speaker-recognition?pid=38020&mode=threaded

http://seminarsprojects.net/Thread-automatic-speaker-recognition?pid=33766&mode=threaded ....etc

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Text-Independent Speaker Verification
INTRODUCTION
Among the most popular measurements for biometric identification are fingerprint, face, and voice.the speaker
recognition area has a long and rich scientific basis with over
30 years of research, development, and evaluations.

a speaker verification system:


step 1:
It consists in extracting parameters
from the speech signal to obtain a representation
suitable for statistical modeling as such models are extensively
used in most state-of-the-art sp ....etc

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Automatic speaker recognition



INTRODUCTION

Automatic speaker recognition has basically two classifications: speaker recognition and speaker identification and it is the method of automatically identifying who is speaking on the basis of individual information integrated in speech waves. Speaker recognition is widely applicable in use of speaker s voice to verify their identity and control access to services such as banking by telephone, database access services, voice dialing ....etc

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To get full information or details of speaker recognition using mfcc matlab code please have a look on the pages

https://scribddoc/59159000/29/Matlab-Code-for-MFCC-approach

http://ijeseattachments/File/v1i7/G0307051713.pdf

http://minhdo.ece.illinois.edu/teaching/speaker_recognition/

if you again feel trouble on speaker recognition using mfcc matlab code please reply in that page and ask specific fields in speaker recognition using mfcc matlab code ....etc

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to get information about speech recognition full report full report, ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-speech-recognition-full-report

http://seminarsprojects.net/Thread-speech-recognition-using-dsp-full-report

http://seminarsprojects.net/Thread-speech-recognition-using-dsp-full-report?page=2

http://seminarsprojects.net/Thread-speech-recognition-full-report?page=2

http://seminarsprojects.net/Thread-artificial-intelligence-for-speech-recognition

http://seminarsprojects.net/Thread-speech-re ....etc

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Isolated word, speaker independent speech recognition

Project Goals

To make appliances smart
Use Dynamic Time Warping algorithm
13 Mel frequency Cepstral coefficients as the extracted features
Gui development and hardware interface

submitted by
Kaustubh R. Kale
Guide: Dr. John G. Harris


Description

Schematic Diagram
Endpoint detection in Java
DTW analysis in Matlab
Parallel Port operations via C++
Demo ....etc

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speaker recognition using mfcc java code

Abstract

Speaker identification system is one of the applications of biometric using voice signal. In this paper we have implemented a speaker recognition system using a combination of Mel Frequency Capestral Coefficients (MFCC) & Kekre's Median Codebook Generation Algorithm (KMCG). The MFCC algorithm is used for feature extraction while the KMCG algorithm plays important role in code book generation and feature matching. For implementation simplicity the system is built as a text dependent system, i.e ....etc

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gmm speaker recognition matlab code mfcc

This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using a single data likelihood over the GMM learned by point estimation methods according to the maximum likelihood or maximum a posteriori criteria. In contrast, the Bayesian approach evaluates the score by using the expectation of the data likelihood over the posterior distribution of the model parameters, which is depicted by Baye ....etc

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Abstract
Speaker authentication is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. Many principles are used in the area of voice recognition. This paper provides a method of storing the voiceprints of individuals uniquely, based on the Hidden Markov Model. HMM has been used in the speech recognition area for a long period of time, but VoizLock project explores a way of using HMM for voice authentication which is different from speec ....etc

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