Mel Frequency Cepstral Coefficient
Comparative Evaluation of Different Mel Frequency Cepstral Coefficient Features on Qura'nic Arabic Verification
... Using Mel-Frequency Cepstral Coefficient(MFCC)", In Proceedings of the 4th IEEE International Colloquium on Signal Processing and its Application(CSPA) 2008, 7-9 March 2008, Kuala Lumpur, ...
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Environment Independent Speech Recognition System using MFCC (Mel-frequency cepstral coefficient)
... using Mel- Frequency CepstrumCoefficient”, 6th WSEAS International Conference on circuits, systems, electronics, control & signal processing, Cairo, Egypt, ...
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Audio Classification on Passing Vehicles with Feedforward Neural Network
... the Mel-Frequency Cepstral Coefficient (MFCC), its Deltas and Delta-Deltas as the main feature extraction method and a Multi-Layer Feedforward Neural Network (MLFFNN) for the classification on ...
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Spoken Language Identification System using MFCC Features and Gaussian Mixture Model for Tamil and Telugu Languages
... the Mel-Frequency Cepstral Coefficient (MFCC) features of the speech signal and Gaussian Mixture Model (GMM) that distinguishes between two different speech signal in Tamil and Telugu which ...
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Face Biometrics Using Enhanced Version of Genetic Algorithm
... Prediction Cepstral Coefficient (LPCC),Mel Frequency Cepstral Coefficient (MFCC),Bark Frequency Cepstral Coefficient (BFCC) feature extraction techniques for ...
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MFCC based perceptual hashing for compressed domain of speech content identification
... (Mel Frequency Cepstral Coefficient), to solve problems of real-time speech content identification and large quantity of voice message information over the mobile ...
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Analysis of Suitable Extraction Methods and Classifiers For Speaker Identification
... An algorithm for identifying original and unknown or disguised voices is proposed. The identification is done by using the feature extraction techniques such as Mel Frequency Cepstral ...
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A Review on Neural Network based Noise Robust Speech Recognition Methods
... the mel-frequency cepstral coefficient (MFCC) and DWT-based filter bank method for the speech feature ...and frequency based factors to decide the position of the given object in the ...
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Feature Selection Method for Speaker Recognition using Neural Network
... Formant frequency estimations [8, 11, 12]. But these days Mel Frequency Cepstral Coefficient (MFCC) is found to be widely used in signal and speech ...
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Speech Processing For Secluded Marathi Words Recognition Using MFCC Features
... exploring Mel Frequency Cepstral Coefficient (MFCC) methods for feature extraction ...of Mel Frequency Cepstral coefficient with 12 and classification is done with ...
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GUI BASED REAL-TIME HOME AUTOMATION SYSTEM OPERATED BY VOICE COMMAND
... the Mel-Scale Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping ...on Mel-Frequency Cepstral Coefficient (MFCC) used for Feature Extraction and Distance Time ...
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Comparative Study of MFCC And LPC Algorithms for Gujrati Isolated Word Recognition
... ABSTRACT: The study performs feature extraction for isolated word recognition using Mel-Frequency Cepstral Coefficient (MFCC) for Gujarati language. It explains feature extraction methods MFCC ...
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Mel Frequency Cepstral Coefficients Based Pattern Recognition for Limb Motor Action
... a Mel Frequency Cepstral Coefficient (MFCC) based hybrid algorithm for motor imagery classification of Electroencephalogram (EEG) signal for Brain Computer Interface ...Regression ...
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Comparative Analysis of LPCC, MFCC and BFCC for the Recognition of Hindi Words using Artificial Neural Networks
... Prediction Cepstral Coefficient (LPCC), Mel Frequency Cepstral Coefficient (MFCC) and Bark frequency Cepstral coefficient (BFCC) feature extraction ...
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Kurdish speaker identification based on one dimensional convolutional neural network
... including Mel frequency Cepstral Coefficient (MFCC), Linear Prediction Code (LPC) and Local Binary pattern (LBP) are extracted from the entire speech signal and fed to Support Vector Machine ...
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Analysis of Feature Extraction Methods for Speech Recognition
... Speech is the nicely recognized and natural form of verbal communication among human beings. On the planet, there are different languages that are spoken by human being for efficient communication. Then people groups ...
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Optimization the Parameters for Speech Recognition System Using Genetic Algorithm
... ABSTRACT: This paper adopted Hidden Markov Model (HMM) to recognize Arabic isolated words . The database contain eleven Arabic isolated words. We have repeated each of them twenty five times by mono –locutor. Feature ...
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Improving Speaker Identification Performance by Combining Vocal Tract Features
... The Mel frequency cepstral coefficient is the most widely used feature in speech and speaker ...of Mel-filters according to the result of pitch detection. The Mel-filters are ...
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Analysing the Performance of Speaker Verification Task using Different Features
... like Mel Frequency Cepstral Coef- ficient(MFCC), Linear Predictive Cepstral Coefficient(LPCC) and Perceptual Linear Predictive(PLP) for different utterance size(from 3s-500ms) and ...
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Synthetic Speech Spoofing Detection Using MFCC And Radial Basis Function SVM
... [25], Mel Frequency Cepstral Coefficients (MFCC)[23], Linear Predictive Cepstral Coefficient (LPCC)[8], Perceptual Linear Prediction (PLP) [17] are all popular spectral ...
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