text-independent speaker identification
Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM
... a text independent speaker identification and verification system using Gaussian Mixture ...as speaker speech feature parameters and the concept of Gaussian Mixture Model for ...
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TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS
... a text independent speaker identification method is developed and analyzed by integrating PCA with MFCC using ...as speaker identification ...
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Neural Network Based Missing Feature Method For Text Independent Speaker Identification
... The first step of missing feature methods in text-independent speaker identification is to identify highly cor- rupted spectrographic representation of speech as missing feature. Most mask ...
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Multiband Approach to Robust Text-Independent Speaker Identification
... for text-independent speaker ...each speaker, there are 10 sections of conversational speech that were recorded at different ...each speaker, 90 seconds of speech cut from three clean ...
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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 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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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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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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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 Modeling and Identification Based On MFCC Features
... of text-independent speaker recognition: From features to ...of speaker recognition and their effect on forensic human and automatic speaker ...automatic speaker recognition ...
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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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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 compared ...
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A Review on Text-Independent Speaker Verification Techniques in Realistic World
... a speaker identification context are MAP adapted to each speaker’s data to create a GMM for that speaker. In the speech recognition context, let us consider that the speech is already split up into ...
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An Overview on Speaker Identification Technologies
... the text-dependent template ...generating speaker-based vector quantization (VQ) codebooks for speaker ...for text-dependent speaker recognition is the HMM technique which was ...
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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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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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Speaker Identification Based Speaker Segmentation for Meeting Data
... The first step in any automatic speaker recognition system is to extract features i.e. identify the components of the audio signal that are good for identifying the linguistic content and discarding all the other ...
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SECURITY SYSTEM BASED ON VOICE AUTHENTICATION
... biometric speaker recognition frameworks is their capacity of performing remote verification by utilization of telephones on the other hand versatile applications, without the need of utilizing specific gear, ...
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Speaker independent machine lip reading with speaker dependent viseme classifiers
... one speaker at a time removed from within SIM P2V ...the speaker-dependent maps in Table 3, we see a different picture. Speaker 4 is significantly affected by the introduction of /ow/ and /uw/ into ...
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A New Paradigm for Speaker Independent Training and Speaker Adaptation
... A New Paradigm for Speaker Independent Training and Speaker Adaptation A New Paradigm for Speaker Independent Training and Speaker Adaptation Francis Kubala and Richard Schwartz BBN Systems and Techno[.] ...
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