Speaker Recognition
Semi-fragile digital speech watermarking for online speaker recognition
... the speaker recognition systems again decreased only slightly with semi-fragile digital speech ...i-vector’s speaker verification system was again bet- ter than that of the GMM-UBM ...the ...
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Speaker Recognition Using Machine Learning Techniques
... Speaker recognition is the process of identifying the person based on an audio containing the person’s ...the speaker is. Researchers have been working on speaker recognition for many ...
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MAP based Audio Coding Compensation for Speaker Recognition
... the speaker recognition system declines when training and testing audio codecs are ...for speaker recognition is ...the speaker models in this codec format, then learns the deviation ...
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A Method to Integrate GMM, SVM and DTW for Speaker Recognition
... for speaker verification ...perform speaker recognition with the support of both SVM and GMM classification models will achieve a competitive performance on recognition ...for speaker ...
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Biomimetic multi-resolution analysis for robust speaker recognition
... addition to the frequency (tonotopic) organization emerg- ing as early as the cochlea, neurons in the central auditory system (specifically in the midbrain and more promi- nently in the auditory cortex) exhibit tuning to ...
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Speaker Identification Method Using Earth Mover’s Distance for CCC Speaker Recognition Evaluation 2006
... on speaker recognition and provided speech data to evaluate speaker recognition algorithms using the same ...text-independent speaker identification, text-dependent and text-independent ...
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A Review of the Fingerprint, Speaker Recognition, Face Recognition and Iris Recognition Based Biometric Identification Technologies
... [18]. Speaker recognition can be classified into speaker identification and speaker ...verification. Speaker identification is the process of determining from which of the registered ...
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Speaker Recognition with Mixtures of Gaussians with Sparse Regression Matrices
... NIST speaker recognition task (Przybocki and Martin, ...target speaker) for each one of the test ...target speaker and NO ...one speaker, in which case there will be at least one false ...
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AUTOMATED SPEAKER RECOGNITION METHODS: A CRITICAL REVIEW
... enlightenment. Speaker recognition, such as speaker identification and speaker verification is based on the fact that one„s speech cogitates his/her unique ...lost. Speaker ...
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Speaker Recognition using Gaussian Mixture Model
... The speaker recognition system was built using Alize- Liral ...25 speaker‟s speech samples are used to modeled as a seperate GMM speaker model by giving speaker IDs like ...the ...
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Information fusion for subband HMM speaker recognition
... Our earlier work has demonstrated the performance gains that can be obtained in speaker recognition by applying subband processing, together with hidden Markov models and multiple classi[r] ...
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On the Use of Complementary Spectral Features for Speaker Recognition
... The expectation maximization (EM) algorithm [23] was used to estimate the parameters of the GMM. Although the EM algorithm is an unsupervised clustering algorithm, it cannot estimate the model order and it also requires ...
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Automatic Speaker Recognition System For Forensic Applications
... This chapter covers the explanation about the main concept of automatic speaker recognition system for forensic application. Other than that, the main reason why the project is needed is also cover in the ...
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Speaker Recognition Based Home Automation Using Matlab
... Abstract— Due to decline in both physical and mental abilities, some elderly are not allowed to leave the bed without assistance. Some time they are unable to make the desirable bodily movements and repositioning. In ...
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Real time speaker recognition using MFCC and VQ
... Speaker recognition is the process of identifying a person on the basis of speech ...a speaker dependent feature that enables us to recognize friends over the ...that speaker ...
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A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL
... samples. Speaker recognition process is delicate to sound because it can strike the voice signal feature extraction ...correct speaker recognition results. This speaker ...
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Development and Implementation of Algorithm for Speaker recognition for Gujarati Language
... Experimental results showing that with implementation of weighted MFCC for extraction of features from the speech signal of Gujarati Language, GMM gives the better results for speaker recognition. In this ...
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Data Model Relationship in Text Independent Speaker Recognition
... Returning to Figure 1, the profiles represent hypothesised accuracy of speaker recognition systems. For a given amount of data, illustrated on the vertical axis, contributions become feasible from different ...
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A multi spectral data fusion approach to speaker recognition
... Speaker recognition is an example of biometric personal identification ...Automatic speaker identification and ver- ification are often considered to be the most natu- ral and economical methods for ...
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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 speaker regardless of what is being ...The ...
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