text independent speaker verification
A Review on Text-Independent Speaker Verification Techniques in Realistic World
... in speaker verification,[Comparing Maximum] The GMM-UBM system is the current state-of-the-art approach for text-independent speaker ...target speaker model and impostor model ...
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A Tutorial on Text Independent Speaker Verification
... that speaker recognition technology has made tremendous strides forward since the initial work in the field over 30 years ago, future directions in speaker recog- nition technology are not totally clear, ...
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Noise invariant frame selection: a simple method to address the background noise problem for text independent speaker verification
... of speaker-related systems usually degrades heavily in practical applications largely due to the background ...i-vector-based speaker verification systems in different unknown noisy environments with ...
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PLDA in the i-supervector space for text-independent speaker verification
... each speaker in the development data. This is typically the case for speaker recognition where the number of utter- ances per speaker is usually in the range from ten to over a hundred ...
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Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM
... pretense speaker and another one trying to minimize the variation not related to the speaker providing a more stable decision ...the speaker is accepted otherwise it is rejected as shown in ...
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TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS
... test independent speaker identification model is developed by using Generalized Gaussian mixture ...of speaker identification includes: Remote time and attendance logging, Home parole ...
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Text-Dependent Speaker Verification System Using Neural Network.
... into text- dependent and text-independent ...the speaker to say key words or sentences having the same text for both training and recognition ...specific text being spoken, i.e. ...
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Text Independent Speaker Recognition System using GMM
... Matlab Speaker recognition [4] can be classified into identification and ...verification. Speaker identification is the process of determining which registered speaker provides a given ...
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Text Independent Speaker Modeling and Identification Based On MFCC Features
... Assessing the performance of new algorithms on a common dataset is essential to enable meaningful performance comparison. In early studies, corpora consisted of a few or at the most a few dozen speakers, and data was ...
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AN EFFICIENT SVM BASED SPEAKER VERIFICATION SYSTEM
... Speaker verification has earned speaker recognition its classification as a "behavioral ...biometric". Speaker identification systems can also be implemented covertly without the ...
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Efficient Text Independent Speaker Identification using Optimized Hierarchical Mixture Clustering
... In this approach, during training phase, speaker independent model Universal Background Model was generated and then individual speaker models has been built using supervised adaptation.[r] ...
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On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation
... difference hybrid pattern classification approach for text independent speaker identification.. system; in these approaches, we combined a hybrid decision tree, GMM and VQ model.[r] ...
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A Review On Speaker Verification: Challenges And Issues
... unknown speaker is literally known as Speaker Identification represented in (Figure 1) is a process of identifying an individual from the voice ...a speaker model. Speaker Identification is ...
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Neural Network Based Missing Feature Method For Text Independent Speaker Identification
... We use the neural network to estimate mask for missing feature reconstruction method in text independent speak- er identification. Four features representing speech are discussed to train the neural ...
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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 ...
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Performance Evaluation of Mel and Bark Scale based Features for Text Independent Speaker Identification
... The performance of Mel scale and Bark scale is evaluated. Mel scale and Bark scale are filter bank structure which is used in speaker recognition system. This filter banks are mainly based human auditory system. ...
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On the Determination of Optimal Model Order for GMM Based Text Independent Speaker Identification
... The global GOF, MDL, and AIC values of the patterns of three typical speakers are plotted versus the model order in Figures 1, 2, and 3, respectively. In the upper subplots of each figure, the speaker GMMs have ...
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Robust speaker recognition in presence of non trivial environmental noise (toward greater biometric security)
... Recent approaches, first proposed by Campbell et al. (2006b), use a GMM-SVM combination technique to tackle utterances that have different durations and different numbers of feature vectors (Pillay, 2010, Kinnunen and ...
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A New Speaker Verification Approach for Biometric System
... The speaker verification is done in testing phase by calculating the minimum Euclidian distance between the codes generated by the input speech signals and that of the stored ...
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Privacy-Preserving iVector-Based Speaker Verification
... There are only a few notable works exist in the domain of privacy-preserving speaker verification that we can use to benchmark our solution [3], [11], [14], [16], [17]. In [14], Smaragdis and Shashanka ...
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