Mel-frequency
Device Activation based on Voice Recognition using Mel Frequency Cepstral Coefficients (MFCC’s) Algorithm
... The research work is carried out in this paper is about activating any device using voice commands which could be used in societal applications to make the things secure . A detailed study is done on existing works. The ...
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Comparative Evaluation of Different Mel Frequency Cepstral Coefficient Features on Qura'nic Arabic Verification
... In a recent work , Razak et. al. [6] have investigated Quraanic verse recitation feature extraction using the Mel-Frequency Cepstral Coefficient (MFCC) approach. Their paper explored the viability of the ...
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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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Human Breathing Classification Using Electromyography Signal with Features Based on Mel-Frequency Cepstral Coefficients
... Looking at the appearance of the EMG signal based on Fig. 1, if such signal needs to be analyzed, it is more Abstract: Typical method on assessing the human breathing characteristics is based on measurements of breathing ...
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VOICE RECOGNITION SECURITY SYSTEM USING MEL FREQUENCY CEPSTRUM COEFFICIENTS
... and Mel-cepstrum ...the frequency contents of sounds of speech signals does not follow a linear ...a frequency f in Hz, a pitch is being measured on a scale called the “Mel ...The ...
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Using Mel Frequency Cepstral Coefficients in Missing Data Technique
... Filter bank is the most common feature being employed in the research of the marginalisation approaches for robust speech recognition due to its simplicity in detecting the unreliable data in the frequency domain. ...
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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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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 ...(EEG), Mel Frequency ...
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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 cepstral ...
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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 and support vector machines ...
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Speech recognition of mandarin syllables using both linear predict coding cepstra and Mel frequency cepstra
... This paper is to compare two most common features representing a speech word for speech recognition on the basis of accuracy, computation time, complexity and cost. The two features to represent a speech word are the ...
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Text Dependent Speaker Identification using Hidden Markchov Model and Mel Frequency Cepstrum Coefficient
... Speaker identification is a biometric process. The objective of speaker identification is to extract, characterize and recognize the information about speaker identity. Speaker Recognition technology has recently been ...
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Speaker Identification using Mel-frequency Cepstrum Coefficient
... using mel-frequency cepstrul coefficients, 3rd International Conference on Electrical & Computer Engineering ICECE 2004, 28-30 December 2004, Dhaka, Bangladesh ISBN 984-32-1804-4 565 ...
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Spoken English Alphabet Recognition with Mel Frequency Cepstral Coefficients and Back Propagation Neural Networks
... certain groups of letters[1-3]. High acoustic similarities may cause difficulty in classification while low acoustic similarities causes ease to discriminate among classes for speech recognition systems.An alphabet set ...
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Features extraction of heart sounds using time frequency distribution and mel frequency cepstrum coefficient
... eksperimen telah dilakukan bagi mengekstrak ciri-ciri yang ada pada bunyi degupan jantung menggunakan dua teknik tersebut dan membandingkan tahap pencapaian yang diperolehi.. Kedua-dua t[r] ...
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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 features are used to extract the ...
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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) and energy feature ...
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Analysis of Suitable Extraction Methods and Classifiers For Speaker Identification
... Purposed Mel Frequency Cepstrum Coefficient (MFCC) feature extraction method is used; Mel Frequency Cepstrum Coefficient can follow the frequency spectral ...
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Effective News Video Classification Based On Audio Content: A Multiple Instance Learning Approach
... For the purpose of video classification, features are drawn mainly from text, audio, and visual modalities. Usually multimedia approaches are found scarcely more often in the literature than text-only approaches. The ...
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Analysis of Feature Extraction Methods for Speech Recognition
... process. Mel scale cepstral coefficients, Perceptual linear prediction, linear predictive cepstral coefficients and linear predictive coding are the most proposed acoustic ...purposes. Mel frequency ...
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