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speaker independent recognition system

Text Independent Speaker Recognition System using GMM

Text Independent Speaker Recognition System using GMM

... A wide range of possibilities exist for parametrically representing the speech signal for the speaker recognition [4] task, such as Linear Prediction Coding (LPC), Mel-Frequency Cepstrum Coefficients (MFCC ...

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Speaker Independent Speech Recognition of Isolated Words in Room Environment

Speaker Independent Speech Recognition of Isolated Words in Room Environment

... After analyzing the ‘2 nd formant values’ of male and female speakers for the utterances ‘Go’, ‘Right’, ‘Left’ and ‘Halt’, it is seen that for a specific person like Male 2, values of 2nd formant are different for ...

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Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models

Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models

... In the pre-processing phase, the signal has been im- proved using spectral subtraction [33,34] and segmented into frames partially overlying (50%) and relatively small. Frames not containing voice were skipped. The size ...

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International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... Speech Recognition System Based on Hidden Markov ...speech recognition and the continuous speech ...successful recognition rates. These recognition rates are relatively successful if ...

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Speech Recognition in ATMs: Application of Linear Predictive Coding and Support Vector Machines

Speech Recognition in ATMs: Application of Linear Predictive Coding and Support Vector Machines

... speech recognition is still going on and this work is an application of speech recognition for financial transactions in ...speech recognition system is developed using Linear Predictive ...

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Audio Visual Speech Recognition for People with Speech Disorders

Audio Visual Speech Recognition for People with Speech Disorders

... automatic recognition of speech disorders have been done ...speech recognition system of disorders in continuous speech using Artificial Neural Network (ANN) ...the speaker independent ...

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Development of a Speaker Independent Speech Recognition System for Remotely Voice Operated Control Systems 
Teetla Asha & S Ravi Kumar

Development of a Speaker Independent Speech Recognition System for Remotely Voice Operated Control Systems Teetla Asha & S Ravi Kumar

... Speech recognition or identification system required a "voice reference template" to be created so that it can be compared against subsequent voice ...the speaker must speak a set of phrase a ...

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Detailed analysis of Speaker Recognition System and use of MFCCs for recognition

Detailed analysis of Speaker Recognition System and use of MFCCs for recognition

... Independent Component Analysis (ICA) is a more recent technique that aims to reduce redundancy in the originalfeature space. Whereas PCA removes second order dependencies, ICA removes also higher order ...

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A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL

A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL

... an independent speaker remembrance technology, with an important on text-independent ...on speaker recognition actively for nearly ten ...of independent speaker ...

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Multi-speaker frequency warping vocal tract length normalization for speaker independent speech recognition

Multi-speaker frequency warping vocal tract length normalization for speaker independent speech recognition

... in speaker independent speech recognition system is to compensate speaker ...variability. Speaker variability is usually related to the physical difference in vocal tract ...

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RECOGNITION OF SPEECH SIGNALS: AN EXPERIMENTAL COMPARISON OF LINEAR PREDICTIVE CODING AND DISCRETE WAVELET TRANSFORMS

RECOGNITION OF SPEECH SIGNALS: AN EXPERIMENTAL COMPARISON OF LINEAR PREDICTIVE CODING AND DISCRETE WAVELET TRANSFORMS

... speech recognition system is developed using two different feature extraction techniques and a comparative study is carried out for recognizing speaker independent spoken isolated ...for ...

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Speaker Independent and text Independent Emotion Recognition System Based on Random Forest Classifier

Speaker Independent and text Independent Emotion Recognition System Based on Random Forest Classifier

... emotion recognition is mostly beneficial for applications, which need human-computer interaction such as speech synthesis, customer service, education, forensics and medical analysis ...

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Suitable Feature Extraction and Speech Recognition
          Technique for Isolated Tamil Spoken Words

Suitable Feature Extraction and Speech Recognition Technique for Isolated Tamil Spoken Words

... Speech Recognition (ASR) ...speech recognition system based on various ...speech recognition techniques namely Dynamic Time Warping (DTW), Hidden Markov Model (HMM), Multi Layer Perceptron ...

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Speaker Recognition System and Algorithms

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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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 A New Paradigm for Speaker Independent Training and Speaker Adaptation Francis Kubala and Richard Schwartz BBN Systems and Techno[.] ...

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SPEAKER RECOGNIZED SECURITYBASED VOTING MACHINE

SPEAKER RECOGNIZED SECURITYBASED VOTING MACHINE

... automatic speaker reorganization is to extract, characterize, recognize information about speaker ...dependent speaker identification system. This voice reorganization system is used ...

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Implementing The Speaker Recognition Process In Python Using ‘Thuyg-20-Sre’ Data Set

Implementing The Speaker Recognition Process In Python Using ‘Thuyg-20-Sre’ Data Set

... speech recognition acts as a subfield and does the work of converting the words into text ...matter. Speaker recognition can be done with the help of datasets ...of Speaker Recognition ...

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Automatic Speaker Recognition System For Forensic Applications

Automatic Speaker Recognition System For Forensic Applications

... beyond speaker variability that can make the speaker recognition system is more questionable is the acoustical noise and variations in recording environment for example is the speaker ...

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A Review of the Fingerprint, Speaker Recognition, Face Recognition and Iris Recognition Based Biometric Identification Technologies

A Review of the Fingerprint, Speaker Recognition, Face Recognition and Iris Recognition Based Biometric Identification Technologies

... production system of an individual ...[18]. Speaker recognition can be classified into speaker identification and speaker ...verification. Speaker identification is the process ...

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Text independent Speaker Recognition of Mandarin by Big Data Technic of GMM and VQGMM

Text independent Speaker Recognition of Mandarin by Big Data Technic of GMM and VQGMM

... Abstract. Speaker recognition has been long a popular research topic as to identify a specific speaker by his free speech of ...affecting speaker identification hit ...

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