Mel-Frequency Cepstral Coefficients (MFCC)
Phone Recognition On Timit Database Using Mel-Frequency Cepstral Coefficients And Support Vector Machine Classifier
... the Mel-frequency Cepstral coefficients (MFCC) and their first and second derivatives as well as energy coefficient frame and its first derivative as the features coefficients ...
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Real Time Speaker Recognition using Mel-Frequency Cepstral Coefficients (MFCC) ,VQLBG & GMM Techniques
... the Mel frequency cepstral coefficients and a neural network classifier” First International Symposium on Control, Communications and Signal Processing, Proceedings of IEEE 2004 Page(s):631 – ...
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Fet Small Signal Modelling Based on the Dst and Mel Frequency Cepstral Coefficients
... Abstract—In this paper, a new technique is proposed for field effect transistor (FET) small-signal modeling using neural networks. This technique is based on the combination of the Mel frequency ...
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Using Mel Frequency Cepstral Coefficients in Missing Data Technique
... new cepstral marginalisa- tion and cepstral soft decision approaches for the ...the MFCC recognizer and give higher average recognition rates than the filter bank ...The cepstral soft decision ...
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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 ...contains MFCC ...
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A Review: Person Recognition Based on Humming
... like Mel Frequency Cepstral Coefficients (MFCC), Linear Predictive coefficients (LPC), Perceptual Linear Prediction (PLP) and all other feature vectors are used as an input to ...
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Vector Quantization Approach for Speaker Recognition using MFCC and Inverted MFCC
... years, Mel- Frequency Cepstral Coefficients (MFCC) modeled on the human auditory system has been used as a standard acoustic feature set for speech related ...inverted ...
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Role of Spectral Peaks in Autocoorelation Domain for Robust Speech Recognition
... robust mel-frequency cepstral coefficients ( DRASS- MFCC ) can be derived from the magnitude of the differentiated relative autocorrelation power spectrum by applying it to a ...
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Accent Recognition using MFCC and LPC with Acoustic Features
... uses Mel Frequency Cepstral Coefficients (MFCC), Linear Productive Coding (LPC) to extract speech features from four different language groups, fundamental frequency Formant (F0) ...
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Feature Extraction Techniques in Speech Processing: A Survey
... letter. Mel-frequency cepstral coefficient (MFCC) was used as a feature extractor to characterize a ...The Mel Frequency Cepstral Coefficients (MFCC) ...
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Analysis of Feature Extraction Methods for Speech Recognition
... Mel Frequency Cepstral Coefficients (MFCC) is the robust and dynamic technique for speech feature extraction ...The MFCC are based on the known variation of the human ear’s ...
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Speaker recognition with hybrid features from a deep belief network
... as Mel Frequency Cepstral Coefficients (MFCC) in many audio ...the MFCC features for speaker recognition task, which can be applied to audio scripts of different ...
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Text Independent Speaker Recognition System using GMM
... like Mel Frequency Cepstral Coefficients (MFCC [2]) from the speech signals of those persons by using the process of feature extraction using ...
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Classification of Alzheimer’s Disease in PET Scans using MFCC and SVM
... using Mel-Frequency Cepstral Coefficients (MFCC), by a generic Support Vector Machine (SVM) ...optimal MFCC order, the proposed method could identify subjects with Alzheimer’s ...
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An Automatic Infants Cry Detection Using Linear Frequency Cepstrum Coefficients(LFCC)
... linear-frequency cepstral coefficients instead of MFCC as a short-time ...higher frequency characteristics than MFCC [2].Also, mel-frequency cepstral ...
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6. A Hybrid Speech Recognition Technique Based On MFCC and PLP
... MFCC: - The knowable mel-frequency cepstral coefficients (MFCC) have been one of the most far and widely used speech description for speech recognition over loads of ...the ...
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Comparative Analysis of LPCC, MFCC and BFCC for the Recognition of Hindi Words using Artificial Neural Networks
... Prediction cepstral coefficients (LPCC), Mel frequency cepstral coefficients (MFCC) and Bark Frequency cepstral coefficients ...
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Improving Speaker Identification Performance by Combining Vocal Tract Features
... as Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Mel Frequency Cepstral Coefficients (DMFCC) in speaker ...process. Mel frequency ...
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Review on Computer Control with Voice Command (MFCC) using Ad-hoc Network
... The Mel Frequency Cepstral Coefficients (MFCC) algorithms and that they were recognized by the assistance of Artificial Neural ...
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Synthetic Speech Spoofing Detection Using MFCC And Radial Basis Function SVM
... Canonical Mel Frequency Cepstral Coefficients (MFCC) algorithm is used for feature extraction and Support Vector Machine (SVM) is used for classification of natural and synthetic ...
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