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Gaussian mixture model based speaker identification

An Overview on Speaker Identification Technologies

An Overview on Speaker Identification Technologies

... proposed Gaussian mixture modeling (GMM) classifier for speaker recognition task ...in speaker recognition. The GMM needs sufficient data to model the speaker, and hence good ...

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A Model Selection Based Self Splitting Gaussian Mixture Learning with Application to Speaker Identification

A Model Selection Based Self Splitting Gaussian Mixture Learning with Application to Speaker Identification

... in Gaussian mixture modelling. With too many components, the mixture model would overfit the data; on the other hand, with too few components, it would be not flexible enough to describe the ...

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INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES MANAGEMENT TEXT-INDEPENDENT SPEAKER RECOGNITION USING GAUSSIAN MIXTURE MODEL Mamta Saraswat Tiwari

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES MANAGEMENT TEXT-INDEPENDENT SPEAKER RECOGNITION USING GAUSSIAN MIXTURE MODEL Mamta Saraswat Tiwari

... Next, mel-scale cepstral feature vectors are extracted from the speech frames. The mel-scale cepstrum is the discrete cosine transform of the logspectral energies of the speech segment Y. The spectral energies are ...

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Speaker Recognition by Combining Gaussian Mixture Model (GMM) Spectral Representation and Phase Information

Speaker Recognition by Combining Gaussian Mixture Model (GMM) Spectral Representation and Phase Information

... the model parameters used in a text independent speaker recognition ...the identification process can be influenced by certain factors such as the MFCC technique should be applied for feature ...GMM ...

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Text Independent Speaker Modeling and Identification Based On MFCC Features

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 recognition, concerning ...

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Speaker Recognition using Gaussian Mixture Model

Speaker Recognition using Gaussian Mixture Model

... Abstract- Speaker recognition is a term which is most popular in biometric recognition technique that tends to identify and verify a speaker from his/her speech ...data. Speaker recognition system ...

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An Emotion Recognition System based on Right Truncated Gaussian Mixture Model

An Emotion Recognition System based on Right Truncated Gaussian Mixture Model

... the identification of the ...individual speaker emotions we can use either prosodic feature or acoustic ...Every speaker has his own articulation rate by which the identity of a speaker can be ...

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Individual pig object detection algorithm based on Gaussian mixture model

Individual pig object detection algorithm based on Gaussian mixture model

... the Gaussian mixture mode background model, and used SURF feature matching algorithm to suppress the ...technique based on PCA and the Gaussian mixture model to segment ...

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Adaptive Background Subtraction using Fuzzy based Gaussian Mixture Model

Adaptive Background Subtraction using Fuzzy based Gaussian Mixture Model

... one Gaussian would have been sufficient. But in practice, a unimodal model is not sufficient to handle an image in which each pixel may have different values at different points of time owing to the ...

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A Framework for Improving the Interpersonal Relationship of the Elderly with Mild Cognitive Impairment by Using Speaker Recognition and Social Network Platforms

A Framework for Improving the Interpersonal Relationship of the Elderly with Mild Cognitive Impairment by Using Speaker Recognition and Social Network Platforms

... the speaker recognition technique and association functionality of social network ...the speaker recognition units based on the Gaussian Mixture Model (GMM) and Gaussian ...

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Gaussian Mixture Model based Spatial Information Concept for Image Segmentation

Gaussian Mixture Model based Spatial Information Concept for Image Segmentation

... of mixture models based on MRF for pixel label priors have been successfully applied to image segmentation [58], [72]–[74], ...step based on a closed form update equation was introduced [72] to ...

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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

... This study dedicates on text-independent recognition for speakers to free from specific command words. Hit rate is one of the top issues for text-independent recognition as hit rate could drop dramatically while ...

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Research on Initialization on EM Algorithm Based on Gaussian Mixture Model

Research on Initialization on EM Algorithm Based on Gaussian Mixture Model

... The K-means algorithm is one of the most popular iterative descent clustering methods [5]. This algorithm takes k as the parameter, then n objects are di- vided into k clusters, in the same cluster objects in a high ...

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SPEAKER RECOGNITION USING GMM

SPEAKER RECOGNITION USING GMM

... text-independent speaker recognition ...of speaker specific training ...The Gaussian Mixture speaker model was specifically evaluated for identification tasks using short ...

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Spoken Language Identification System using MFCC Features and Gaussian Mixture Model for Tamil and Telugu Languages

Spoken Language Identification System using MFCC Features and Gaussian Mixture Model for Tamil and Telugu Languages

... In a country like India where a large number of languages are being spoken, there is a need to completely study the features which serves as a cue to distinguish between languages. In [1] and [2], Muthusamy has provided ...

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Gaussian Mixture Models for Human Face Recognition under Illumination Variations

Gaussian Mixture Models for Human Face Recognition under Illumination Variations

... a Gaussian Mixture Models (GMM)-based human face identification technique built in the Fourier or frequency domain that is robust to illumination changes and does not require “illu- mination ...

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A survey on automatic speech recognition system

A survey on automatic speech recognition system

... Since the 1950s computer scientists have been researching ways and means to make computers able to record interpret and understand human speech. The goal of ASR is to achieve the 100% accuracy with independent of ...

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Speaker Identification Based Speaker Segmentation for Meeting Data

Speaker Identification Based Speaker Segmentation for Meeting Data

... subsequent speaker segmentation process [7].Here we used energy based detector for speech/nonspeech detection because of its simplicity, this detector is works on the principal that energy of nonspeech ...

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Speech based Emotion Recognition with Gaussian Mixture Model

Speech based Emotion Recognition with Gaussian Mixture Model

... about the message, speaker, language and emotions .Speech is produced from a time varying vocal tract system excited by a time varying excitation source. Emotion on other side is an individual mental state that ...

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Review on Automatic Fast Moving Object Detection in Video of Surveillance System

Review on Automatic Fast Moving Object Detection in Video of Surveillance System

... method based on temporal information for moving object detection. Firstly, based on the continuous symmetry difference of the adjacent frames temporal saliency map is generated ...and based upon ...

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