speaker recognition system
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 speaker ...
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Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance
... based speaker recognition has been studied in ...on speaker recognition systems using Gaussian mixture models (GMM), hidden Markov models (HMM) and quantization models (VQ) has been tackled in ...
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Evaluation of Speaker Recognition System Using Different Distance Metrics
... Speaker recognition is the process of automatically recognizing the identity of speaker on the basis of individual information extracted from speech ...signals. Speaker recognition ...
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A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL
... Abstract—Automatic speaker recognition system identifies a person from the information contained in the speech ...biometric recognition and are being used in applications like ...
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Development of a real-time speaker recognition system using TMS320C31
... a speaker recognition system to be used in practice, the response ti me, or the ti me taken to train and to recognize the speakers must me mini mi zed to an acceptable ...the speaker database ...
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A Raspberry Pi based Speaker Recognition System for Access Control
... speaker recognition(biometric) system using the raspberry pi as the control ...unit. Speaker recognition is the process of automatically recognizing who is speaking on the basis of ...
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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 ...
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Detailed analysis of Speaker Recognition System and use of MFCCs for recognition
... in speaker recognition system because of the ease of implementation and their behavior similar to human speech which is linear at low frequencies and logarithmic at high ...of recognition and ...
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Speaker Recognition System Based on the Baseband Correlation Score Reliability Fusion
... of speaker recognition technology is the pre-entry of the speaker’s voice samples to which is extracted as the unique speaker voice feature and stored in the database, according to match the testing ...
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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 system we have developed is the latter, text- ...
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A Purely End to End System for Multi speaker Speech Recognition
... sources, which generally ensures that different ut- terances are recognized for each speaker. Without this complementarity constraint, our direct multi- speaker recognition system could be ...
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Robust speaker recognition in presence of non trivial environmental noise (toward greater biometric security)
... Robust Speaker Recognition in presence of non-trivial environmental noise 57 features theory (MFT) to model the noise ...the recognition system when compared with a baseline system ...
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Text dependent Speaker Recognition by Combination of LBG VQ and DTW for Persian Language
... automatic speaker recognition technology, with an emphasis on text-dependent speaker ...recognition. Speaker recognition has been studied actively for several ...fact, ...
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Mathematical Technique Based Speaker Recognition for Total Security System
... A speaker recognition system was developed in 1960 with the discovery of voiceprint analysis, where characteristics of an individual’s voice were thought to be able to characterize the uniqueness of ...
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Speech Recognition System with Speaker Verification using HMM, LPC & MFCC
... Speech recognition system has been under research since a long ...speech recognition system are now available across ...Speech recognition and so on. Speaker verification on the ...
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Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition
... Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition Barbara Peskin, Larry Gillick, Y[.] ...
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Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition
... Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition Xuedong Huang, Fil Alleva, S[.] ...
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Normalization and Automatic Recognition of Assamese Vowels
... the speaker in question and Sn is the standard deviation of formants.) The common view amongst experimental phoneticians is that vowel quality can be quantified with adequate precision and validity by measuring ...
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SPEAKER RECOGNITION IN REVERBERANT CONDITIONS: A REVIEW
... a speaker identification/verification system [2], first phase is called enrolment or training phase, in which a user enrols by providing voice samples to the ...The system extracts ...
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Review of Automatic Speech Recognition For Recognition of Speech and Speaker
... SWITCHBOARD is a large multi-speaker corpus of telephone conversations. Although designed to support several types of speech and language research, its variety of speakers, speech data, telephone handsets, and ...
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