cepstral coefficients
Singer identification using perceptual features and cepstral coefficients of an audio signal from Indian video songs
... timbre coefficients, pitch class, mel frequency cepstral coefficients (MFCC), linear predictive coding (LPC) coefficients, and loudness of an audio signal from Indian video songs ...MFCC ...
12
Audio bandwidth extension based on temporal smoothing cepstral coefficients
... smoothing cepstral coefficients ...smoothing cepstral coefficients are obtained by means of the power-law loudness function and cepstral ...smoothing cepstral coefficients ...
16
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 ...
7
Device Activation based on Voice Recognition using Mel Frequency Cepstral Coefficients (MFCC’s) Algorithm
... Frequency Cepstral Coefficients (MFCC) Algorithm is used to extract the features of speaker’s voice as it is found to be one of the most accurate techniques that could simulate the human audibility ...
5
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 ...
8
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 ...
20
Mel Frequency Cepstral Coefficients Based Pattern Recognition for Limb Motor Action
... Frequency Cepstral Coefficient (MFCC) based hybrid algorithm for motor imagery classification of Electroencephalogram (EEG) signal for Brain Computer Interface ...the cepstral coefficients. The ...
6
Phone Recognition On Timit Database Using Mel-Frequency Cepstral Coefficients And Support Vector Machine Classifier
... feature coefficients is to use them in special analysis or application such as ...when Cepstral coefficients (MFCC or LPCC) are used generally the lower coefficients are sensitive to slope of ...
7
Feature Extraction Methods based on Linear Predictive Coding and Mel Frequency Cepstral Coefficients for Recognizing Spoken Words in Assamese Language
... In order to obtain or designing an intelligent and accurate system for the automatic recognition of speech, feature extraction process is considered as the key and most important phase. There are different speech feature ...
10
Real Time Speaker Recognition using Mel-Frequency Cepstral Coefficients (MFCC) ,VQLBG & GMM Techniques
... frequency cepstral coefficients and a neural network classifier” First International Symposium on Control, Communications and Signal Processing, Proceedings of IEEE 2004 Page(s):631 – ...
8
Isolated English alphabet speech recognition using wavelet cepstral coefficients and neural network
... Predictive Cepstral Coefficient (LPCC), and the MFCC shows high performance when used under benign conditions however, their performance decreases under the influence of background noise and degradation which is ...
31
Using Mel Frequency Cepstral Coefficients in Missing Data Technique
... often, cepstral features are the parameterisation of choice for many speech recog- nition ...Mel-frequency cepstral coefficient (MFCC) [5] representation of speech is proba- bly the most commonly used ...
7
A New Robust Resonance Based Wavelet Decomposition Cepstral Features for Phoneme Recoszgnition
... the 15 tunable Q factor wavelet filters is calculated and the log of weighted energy is applied resulting in 16 cepstral coefficients. Discrete Cosine Transform (DCT) is applied to decelerate the 16 ...
8
Vol 4, No 12 (2016)
... Frequency Cepstral Coefficients (MFCC), Linear Frequency Cepstral Coefficients (LFCC), Real Cepstral Coefficient (RCC), Log Area Ratio (LAR) are used for evaluation of speaker ...
7
Automatic Recognition of Machinery Noise in the Working Environment
... mel-frequency cepstral coefficient (MFCC) procedure was adjusted for machinery noise by using different filter ...frequency cepstral coefficients (FCC) should be extracted by using linear filter ...
11
Review on Computer Control with Voice Command (MFCC) using Ad-hoc Network
... ABSTRACT: It has continually been a dream of soul to form machines that behave like humans. Recognizing the speech and responding consequently is a vital a part of this dream. With the enhancements of the technology and ...
6
Role of Spectral Peaks in Autocoorelation Domain for Robust Speech Recognition
... mel-frequency cepstral coefficients ( DRASS- MFCC ) can be derived from the magnitude of the differentiated relative autocorrelation power spectrum by applying it to a conventional mel- frequency ...
9
Applying Hidden Markov Model Baby Cry Signal Recognition Based on Cybernetic Theory
... mel-frequency cepstral coefficients (MFCC) and bark frequency cepstral coefficients (BFCC) extract the feature of different known baby cry signal to make the ...
5
Synthetic Speech Spoofing Detection Using MFCC And Radial Basis Function SVM
... Mel-cepstral coefficients of order 39 for sampling frequency of 16kHz and maximum voiced frequency and uses HNM-related procedures for signal analysis and ...
8
A Natural Human-Machine Interaction via an Efficient Speech Recognition System
... The first step performs the collection of speech samples to train system with possible all possible conditions. In the second step we preprocess data in order to make it ready to extract features. In the third step we ...
7