cepstrum coefficients
Design of An Intelligent Speaker Recognition System using Mel Frequency Cepstrum Coefficients and Vector Quantization for Biometric Authentication
... Speaker recognition is mainly divided into two categories: Speaker identification and Speaker verification. In speaker identification, which speaker has uttered the given speech is found out, whereas in speaker ...
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Infant's Cry Detection Using Linear Frequency Cepstrum Coefficients
... ABSTRACT: Infant crying can be viewed as an organic alert framework, and it is the principal methods for correspondence for infants. Newborn child crying signs trouble or needs, requires the consideration of guardians or ...
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A Survey on an Automatic Infant's Cry Detection Using Linear Frequency Cepstrum Coefficients
... ABSTRACT: Infant crying can be considered a biological alarm system, and it is the first means of communication for newborns. Infant crying signals distress or needs, calls for the attention of parents or caregivers and ...
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An Automatic Infants Cry Detection Using Linear Frequency Cepstrum Coefficients(LFCC)
... cepstral coefficients instead of MFCC as a short-time ...cepstral coefficients (MFCCs) and short-time energy were used to develop a noise-robust crying detection system [3] Motivated by this, we use LFCC ...
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VOICE RECOGNITION SECURITY SYSTEM USING MEL FREQUENCY CEPSTRUM COEFFICIENTS
... Objective: Voice Recognition is a fascinating field spanning several areas of computer science and mathematics. Reliable speaker recognition is a hard problem, requiring a combination of many techniques; however modern ...
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Mean square error optimal weighting for multitaper cepstrum estimation
... Cepstrum-based methods are important in many applica- tions, especially speech analysis [1], and also in other areas such as, e.g., seismic deconvolution [2], vibratory diagno- sis using mechanical signals [3], ...
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(ANN), pattern recognition, LPC/Cepstrum
... Abstract— Diverse techniques have been developed with a focus on dimension reduction, especially in Artificial Neural Network (ANN). This focus becomes a very important factor because the training process can become very ...
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Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models
... Mel-Frequency Cepstrum Coefficients (MFCC) and Gaussian Mixture Models (GMM), in or- der to develop a security control access ...these coefficients were statistically analyzed by GMM in order to ...
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MULTI CROSS PROTOCOL WITH HYBRID TOPOGRAPHY CONTROL FOR MANETS
... The proposed system in this paper helps non- native Arabic speakers to learn to recite the holy Quran. It is a mobile application designed for Android devices. The mobile platform was chosen because it can be used ...
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6. A Hybrid Speech Recognition Technique Based On MFCC and PLP
... (Mel-frequency cepstrum coefficients) and 11 to 20 are PLP (perceptual linear prediction) ...cepstral coefficients (MFCC) have been one of the most far and widely used speech description for speech ...
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Speaker Recognition System and Algorithms
... Mel-Frequency Cepstrum Coefficients (MFCC), Linear Prediction writing (LPC) as feature extraction techniques and Vector quantisation (VQ) as speaker classification technique and investigated the result of ...
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A Survey on Feature Extraction Algorithm for the Speech Recognition System
... Frequency Cepstrum Coefficients (MFCC) and Perceptual Linear Prediction (PLP) are used to extract the acoustic features from the audio which is used in Automatic Speech Recognition ...
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Project BIG
... normale cepstrum gebruikt de Mel-frequency cepstrum de Mel schaal distributie, Mel-frequency cepstrum coefficients zal in het ver- volg afgekort worden tot ...
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AN ENHANCED RULE APPROACH FOR NETWORK INTRUSION DETECTION USING EFFICIENT DATA ADAPTED DECISION TREE ALGORITHM
... Mel cepstrum (Mel-Frequency Cepstrum Coefficients, MFCC) is proposed based on the characteristics of the human auditory system, which simulated the perception of human ear to different speech ...
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THE LEARNING METHOD OF SPEECH RECOGNITION BASED ON HMM
... This paper helps to improve the student’s interest towards speech recognition. It implements Automatic Speech Recognition System based on the following: Preprocessing, Feature Extraction Technique (MFCC- Mel Frequency ...
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A kepstrum approach to filtering, smoothing and prediction
... kepstrum coefficients can, if desired, be averaged for stationary signals this contributing a form of convergence to the ...‘cepstrum coefficients’ but kepstrum is maintained throughout the paper to ...
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Acoustic Experimental Data Analysis Of Moving Targets Echoes Observed By Doppler Radars
... sixth cepstrum coefficients give promising information about the spectral width around ...The cepstrum-based analysis conducted in this paper is used to extract very basic information that could be ...
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Recognition of Electronic Disguised Voices by the Means of MFCC
... ABSTRACT: Voice disguise is a deliberate action of a speaker who wants to falsify or to conceal his/her identity. Since voice disguise has great negative impact on establishing authenticity of audio evidence in ...
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Audio signal analysis for classification and source localization in e learning applications
... The thesis presents a comparison of the performance of the MSTE coefficients and Mel Frequency Cepstrum Coefficients MFCC for classification along with seven other existing features to c[r] ...
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Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification
... recognition systems. However, few works have focused on DNNs for distant-talking speaker recognition. In this study, a bottleneck feature derived from a DNN and a cepstral domain denoising autoencoder (DAE)-based ...
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