Questions tagged [mfcc]
The mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively make up an MFC. MFCCs are commonly used as features in speech recognition systems
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Good training/test results, but very poor performance in inference as the stream data is coming
I am interested in the audio classification problem. After labeling the audio recordings I have in Praat software environment, I extract the MFCC features from each labeled frame and create an SVM ...
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Principle Components Analysis – using variance as a variable?
I am following a collaborator’s methods to analyze a set of audio recordings, and I have found that she is using principal components analysis in an unexpected way. I am confused by her approach, and ...
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Normalization for MFCC?
I'm planning on using MFCCs extracted from audio signals to make a speaker recognizer. I noticed that the first MFCC term tends to be very large, compared to the others. That's why I think that ...
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MFCCs and MoG-HMMs for speech recognition
BACKGROUND
MFCCs are coefficients which represent the most important parts of speech, and about 12 of them are used to model a one 512 points long frame (of speech). Along with them you would use ...
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Neural Network for sound classification [duplicate]
I am currently trying to automate some identification process of characteristic noise sounds. For acoustic feature, I calculate MFCC. I have downloaded a free MATLAB toolbox from Dan Ellis'es website. ...
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Validation of Support Vector Machine using sklearn
I have made a recording of two different sounds and I want to use an SVM in order to be able to distinct between the two. The process I have followed is:
Divided each sound in multiple 20ms frames.
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Hidden Markov Model with MFCC coefficients
I don't know whether this is the correct forum for this but here goes:
I'm trying to implement a Hidden Markov Model to be able to predict and find the best sequence/path for a training file.
So far,...
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Are MFCCs the optimal method of representing music to a retrieval system?
A signal processing technique, the Mel frequency Cepstrum, is often used to extract information from a musical piece for use in a machine learning task. This method gives a short-term power spectrum, ...
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Defining norm of a matrix of MFCC coefficients
Scenario Construction:
I have a MFCC generator block which gets the speech samples from the user and generates a rectangular matrix say $A$ of the order $m \times n$, whose elements are the Cesptral ...
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A best measure for speaker recognition
I have a set $E_{1}$, with a finite cardinality $n$ of rectangular matrices which contains the useful MFCC coefficients generated from $n$ speech signals. Similary I have a set $E_{2}$ of same ...
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