University of Khartoum

Speaker Recognition System

Speaker Recognition System

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Title: Speaker Recognition System
Author: OMER, ALA ELDIN
Abstract: Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. This technique makes it possible to use the speaker‟s voice to verify his/her identity and provide controlled access to services like voice based biometrics, database access services, voice based dialing, voice mail and remote access to computers . Signal processing front end for extracting the feature set is an important stage in any speaker recognition system. The optimum feature set is still not yet decided though the vast efforts of researchers. There are many types of features, which are derived differently and have good impact on the recognition rate. This project presents one of the techniques to extract the feature set from a speech signal, which can be used in speaker recognition systems. The key is to convert the speech waveform to some type of parametric representation (at a considerably lower information rate) for further analysis and processing. This is often referred to as the signal-processing front end. A wide range of possibilities exist for parametrically representing the speech signal for the speaker recognition task, such as Linear Prediction Coding (LPC), Mel-Frequency Cepstrum Coefficients (MFCC), and others. MFCC is perhaps the best known and most popular, and these will be used in this project. MFCCs are based on the known variation of the human ear‟s critical bandwidths with frequency filters spaced linearly at low frequencies and logarithmically at high frequencies have been used to capture the phonetically important characteristics of speech. The voice based biometric system is based on isolated or single word recognition. A particular speaker utters the password once in the training session so as to train and store the features of the access word. Later in the testing session the user utters the password again in order to achieve recognition if there is a match. The feature vectors unique to that speaker are obtained in the training phase and this is made use of later on to grant authentication to the same speaker who once again utters the same word in the testing phase. At this stage an intruder can also test the system to test the inherent security feature by uttering the same word . The project goals have been met successfully and the speaker recognition system was designed and implemented using MATLAB software program .Moreover , a GUI is introduced to ease using the system . Simulation and experimental results show the effectiveness of the proposed system , however , some limitations were discovered and should be eliminated in the future.
Description: The main aim of this project is to investigate and build a speaker recognition system in “ MATLAB program ” that recognises a person based on his/her speech patterns, using different recognition algorithms : MFCC extraction technique, FFT approach and also with Vector quantization model
URI: http://hdl.handle.net/123456789/116
Date: 2014-04-30


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