text-independent speaker identification system
Text Independent Speaker Recognition System using GMM
... [4] System” by using the simulation software Matlab Speaker recognition [4] can be classified into identification and ...verification. Speaker identification is the process of ...
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Performance Evaluation of Mel and Bark Scale based Features for Text Independent Speaker Identification
... for text-independent speaker identification ...and speaker recognition systems to extract speaker specific speech ...for text-independent speaker ...
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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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TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS
... III. SPEAKER IDENTIFICATION MODEL WITH GENERALIZED GAUSSIAN DISTRIBUTION In this section we describe the speaker identification ...proposed text independent speaker ...
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Text Independent Speaker Modeling and Identification Based On MFCC Features
... automatic speaker recognition technology, with an emphasis on text- independent ...recognition. Speaker recognition has been studied actively for several ...automatic speaker ...
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Speaker Identification System using Wavelet Transform and VQ modeling Technique
... Speaker identification is the task of determining who is talking from a set of known voices or ...the speaker identification system, an unknown speaker’s speech signal is analyzed and ...
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NEW FEATURE VECTORS FOR AUTOMATIC TEXT- INDEPENDENT SPEAKER TRACKING SYSTEM USING HIDDEN MARKOV MODELS
... In the new feature vector, each Gaussian probability density represents one coefficient. Experiments are carried out to find the dimension of new feature vector for good language identification performance. This ...
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Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models
... proach, PLP (Perceptual Linear Predictive cepstrum) and MF-PLP (Mel Frequency PLP) achieved 91% accuracy rate with 50 speakers randomly chosen from TIMIT da- tabase [38]. In 2009 Chakroborty and Saha [39] combin- ing ...
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Multiband Approach to Robust Text-Independent Speaker Identification
... Based on time-frequency multiresolution analysis, the effective and robust MBLPCC features are used as the front end of the speaker identification system. First, the LPCCs are extracted from the ...
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Neural Network Based Missing Feature Method For Text Independent Speaker Identification
... For Babble and F16 noise, baseline system is using only MFCC without missing feature theory. Spectral subtraction is used to compare the reconstruction missing feature method. It can improve the recognition ...
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Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM
... verification system essentially implements a likelihood ratio test to distinguish the test speech comes from the claimed ...claimed speaker, obtained from a previous ...of speaker and imposter match ...
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PLDA in the i-supervector space for text-independent speaker verification
... the speaker and session (or channel) ...both speaker and channel information acquired from a speech ...i-supervector system, compared with that of the i-vector, at four different stages of loading ...
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Bi-level Speaker Identification System: Impac...
... The variability of the speech signal caused by different factors like speaker identity, gender, transmission channel, utterance length, session or speaking style make this task difficult. That’s why compensation ...
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An Overview on Speaker Identification Technologies
... in speaker identification ...for speaker recognition, was studied ...the speaker recognition performance ...for speaker recognition ...as speaker characteristics for ...
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A Review on Text-Independent Speaker Verification Techniques in Realistic World
... (ML) level. The basic idea is to adapt the UBM to each context-dependent phone rather than to each speaker. The context-dependent phones are not an unstructured collection of phones but are related via a tree ...
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Data Model Relationship in Text Independent Speaker Recognition
... of speaker recognition ...a text-independent mode, then the classification unit is likely to be on the far left of the horizontal axis, in the form of the atomic speech ...
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Mutual interdependence analysis (MIA)
... from all signatures to focus on the evaluation of differences. The comparison of the MIA-based signature with the 1st minor component and the 1st principal component is illustrated in Fig. 3(b). Note visually that only ...
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A novel noise robust speaker identification system
... envelopes. The National Institute of Standards and Technology (NIST) has conducted a series of speaker recognition evaluations (SRE) since 1996.State-of-the-art systems include joint factor analysis and i-vector ...
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A Survey on Text Independent Writer Identification Methods
... Writer identification is an important task and it finds its applications in the field of banking, digital forensic ...of text independent writer ...
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Text independent Speaker Recognition of Mandarin by Big Data Technic of GMM and VQGMM
... The purpose of this study is to identify speaker of text-independent in a faster way. To achieve the purpose, the research process of this study composed by three steps. First step, Front-end signal ...
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