[PDF] Top 20 Text Dependent Speaker Recognition using MFCC features and BPANN

... each speaker, 5 samples are taken for feature extraction and ...the recognition as the EER is approximately ...or recognition rate achieved for this system is ...of recognition rate can be ... See full document

... “Speaker Recognition [4] System” by using the simulation software Matlab Speaker recognition [4] can be classified into identification and ...verification. Speaker identification ... See full document

... Speech/Voice recognition is identification of proper features for the recognition task, and the strategy to extract these features from the signal ...Pre-processing using Speech Filling ... See full document

... Automatic Speaker Recognition technology has recently been implemented in large number of commercial areas ...successfully. Speaker recognition is being used in voice based biometrics; voice ... See full document

... in speaker recognition owes to the progress in the areas of acoustic-phonetics, speech perception, linguistics, and ...of speaker recognition system on TMS320C6713 DSP board has been ...some ... See full document

... The speech signal is a slowly time-varying signal so-called quasi-stationary. When examined over a sufficiently short period of time between 5 and 100ms, its characteristics are fairly stationary. However, over long ... See full document

... User speaks small word or digit like '1', '2' and system must convert them to text. The work is designed to recognize speech in varying criteria like shaky and unclear voices. It was observed that the performance ... See full document

... a speaker recognition system for secluded word recognition system based on a dynamic features of the Marathi speech signals by exploring Mel Frequency Cepstral Coefficient (MFCC) ... See full document

... Speaker recognition can be classified into speaker identification and ...verification. Speaker identification is the process of determining which registered speaker provides a given ... See full document

... a speaker dependent speech recognition system using MLP and ...MLP’s recognition accuracies are better than ...different features have been used to characterize the speaker’s ... See full document

... in speaker identification that employ hybrid strategies can potentially offer significant advantages over single-strategy ...based features has been used to improve the performance of the text ... See full document

... automatic speaker recognition technology, with an emphasis on text- independent ...recognition. Speaker recognition has been studied actively for several ...automatic ... See full document

... popular features for speaker recognition are Mel frequency cepstral coefficients (MFCCs) and linear prediction cepstral coefficients ...These features are used extensively because they ... See full document

... the speaker is less complicated if we are facing him/her rather than from voice independently such as conversation in ...a speaker is speaking just by listening to the ...emotion recognition system ... See full document

... the speaker as voice ...the speaker. There ar a number of things within which correct recognition of persons is ...person) recognition is that the most “natural” means of recognizing ... See full document

... of Speaker Recognition has proposed a method in removing background ...Then, using 3 rd order Butterworth low-pass filter which is also an IIR filer, the higher frequency signal will be ... See full document

... speech recognition is a subject of a major interest today; different features have been investigated in speech recognition ...a speaker identification and phoneme classification ...MLP ... See full document

... obtained using MFCC and VQ are considerable. Accuracy obtained using VQLBG algorithm was ...sample using high quality audio devices in a noise free ...for speaker identification known ... See full document

... both text-independent and text-dependent speaker recognition ...in recognition over MLP networks [14, 5, ...each speaker, and to assess the way they vary in ...false ... See full document

... D. P. Munteanu.et.al.[5] introduced a programmed speech verification system was proposed in view of a nonstop discourse recognizer. In the preparing stage, are prepared two recognizers: one speaker ... See full document