[PDF] Top 20 Text Independent Speaker Recognition System using GMM

Text Independent Speaker Recognition System using GMM

... a speaker recognition [4] program in Matlab. Speaker recognition [4] systems can be characterized as text-dependent or text- ...The system we have developed is the latter, ... See full document

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Text Dependent Speaker Recognition using MFCC features and BPANN

... given text are recorded for 40 ...trained using a discriminative classifier, multilayer perceptron with gradient descent backpropagation ...The system is tested with another data set of test ...the ... See full document

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A Tutorial on Text Independent Speaker Verification

... the speaker verification is the score normal- ization (see Section ...for speaker verification is to sep- arate the likelihood client and nonclient values with an ...The GMM technique was used to ... See full document

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Speech Recognition in ATMs: Application of Linear Predictive Coding and Support Vector Machines

... speech recognition is still going on and this work is an application of speech recognition for financial transactions in ...speech recognition system is developed using Linear ... See full document

6

Suitable Feature Extraction and Speech Recognition Technique for Isolated Tamil Spoken Words

... Speech Recognition (ASR) ...speech recognition system based on various ...speech recognition techniques namely Dynamic Time Warping (DTW), Hidden Markov Model (HMM), Multi Layer Perceptron ... See full document

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RECOGNITION OF SPEECH SIGNALS: AN EXPERIMENTAL COMPARISON OF LINEAR PREDICTIVE CODING AND DISCRETE WAVELET TRANSFORMS

... speech recognition system is developed using two different feature extraction techniques and a comparative study is carried out for recognizing speaker independent spoken isolated ... See full document

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An Overview on Speaker Identification Technologies

... for speaker recognition task ...in speaker recognition. The GMM needs sufficient data to model the speaker, and hence good ...the GMM modeling technique, the distribution ... See full document

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A Framework for Improving the Interpersonal Relationship of the Elderly with Mild Cognitive Impairment by Using Speaker Recognition and Social Network Platforms

... care system for improving the interpersonal relationship of the elderly with mild cognitive impairment (MCI) by employing the speaker recognition technique and association functionality of social ... See full document

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A Method to Integrate GMM, SVM and DTW for Speaker Recognition

... test speaker is like to the pre-established imposter and then rejected immediately by the ...valid speaker matching. In the valid speaker matching operation, if the calculated DTW distance between ... See full document

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Face Recognition System Using: LDA and GMM based Approach

... e.g. speaker verification and audio ...and GMM supervectors of the feature channels per sequence were ...trained using these supervectors for every channel separately and its results were combined ... See full document

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Speaker Recognition System and Algorithms

... a speaker recognition system (SRS) using Mel-Frequency Cepstrum Coefficients (MFCC), Linear Prediction writing (LPC) as feature extraction techniques and Vector quantisation (VQ) as ... See full document

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INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES MANAGEMENT TEXT-INDEPENDENT SPEAKER RECOGNITION USING GAUSSIAN MIXTURE MODEL Mamta Saraswat Tiwari

... hypothesized speaker model was adapted from the UBM, however, allows a faster scoring method than merely evaluating the two GMMs as in ...large GMM is evaluated for a feature vector, only a few of the ... See full document

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Robust Speaker Identification using Denoised Wave Atom and GMM

... robust text-independent speaker ...a GMM are shown to represent some general speaker ...rates using short utterance from noisy (Natural Noise) numerical speech and alphabetical ... See full document

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A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL

... proposed system is a system to identify claimed speakers from several speech ...samples. Speaker recognition process is delicate to sound because it can strike the voice signal feature ... See full document

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Real Time Speaker Recognition using Mel-Frequency Cepstral Coefficients (MFCC) ,VQLBG & GMM Techniques

... “Text independent speaker identification using the Mel frequency cepstral coefficients and a neural network classifier” First International Symposium on Control, Communications and Signal ... See full document

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NEW FEATURE VECTORS FOR AUTOMATIC TEXT- INDEPENDENT SPEAKER TRACKING SYSTEM USING HIDDEN MARKOV MODELS

... for speaker tracking ...Each speaker in a speaker tracking system can be represented by a HMM and is referred to by the speaker respective models as  i ... See full document

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On the Determination of Optimal Model Order for GMM Based Text Independent Speaker Identification

... the speaker GMMs have diagonal covariance matrices while full covariance matrices are used in the lower sub- ...optimum GMM orders obtained by the MDL and AIC criteria with diagonal covariance matrices ... See full document

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Data Model Relationship in Text Independent Speaker Recognition

... The amount and quality of both test and training data are known to be influential factors in speaker recognition per- formance and these factors are application dependent. In the case of telephony ... See full document

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Text independent Speaker Recognition of Mandarin by Big Data Technic of GMM and VQGMM

... Steven F. Boll is one of the first scholar devote on speaker recognition. Steven proposed a speech enhancement of deduction of frequency spectrum to decrease noise [1]. H.L. Van Tree and Y. Ephraim at 1995 ... See full document

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Speaker Independent and text Independent Emotion Recognition System Based on Random Forest Classifier

... This paper used Myanmar speech dataset created by ourselves. Data collection is carried out from Myanmar movies by using Sony Sound Forge Pro 10. The emotion speech file is recorded in WAV file (16 bits, mono) ... See full document

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