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project
... signal
%(a)Silence removal
%(b)Noise cancelling
%(2) Extraction of speaker features for system training
%(a)MFCC or
%(b)Dynamic time warping algorithm
%(3) System training
%(4) System testing
%(5) system verification
%(a) ...
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API-Project
... representation with the summary statistics and voting method respectively.
- experiment_mfcc_sumstats.m
- experiment_mfcc_votes.m
For the MFCC representation with the summary statistics and voting method respectively.
- experiment_rbm_sumstats.m
- ...
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cfdlp
... )
-limit-range 1 limits the DCT spectrum to 125-3800Hz before computing the
FDPLP spectrum (which is done by e.g. IBM's MFCC calculator)
-limit-range 0 leaves the DCT spectrum as-is (default)
-apply-wiener 1 enables a simple VAD algorithm (energy-based) ...
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kaldi-rm1-mod
My attempt to use a publicly available subset of RM1 speech database(MFCC feats from CMU and docs from LDC) to train and test Kaldi models. The existing egs/rm/s1 recipe from the Kaldi distribution was used as a template.
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pymir
... # Spectral Kurtosis
spectra[0].mean() # Spectral Mean
spectra[0].mfcc2() # MFCC (vectorized implementation)
spectra[0].plot() # Plot using matplotlib
spectra[0]. ...
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igmm
... Mixture Model. I got
it working for both univariate and multivariate data. I'd like to see
what it does when presented with MFCC frames from music and
audio. There were some tricky parts of implementing it, I wrote them
up in a short paper describing my ...
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fragit-main
... in a separate `.xyz` file. Finally, there is a new XYZ-MFCC writer to support molecular fragmentation with conjugate caps that will yield capped fragments and caps for MFCC. New output writers can be added easily to support other ...
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DTW_Java
... code
DTW_Java
========
Implementation of Dynamic Time Warping in Java code
Port to Java from the programmer Andrew Slater
You need two mfcc files to compare the audio data, this files can be obtained from HCopy and HList or any other mels coefficient ...
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synced.fm
... coefficient](http://en.wikipedia.org/wiki/Mel-frequency_cepstrum) (MFCC) features for every 30ms interval, with a step ... ://yaafe.sourceforge.net/): An audio library which enables MFCC extraction for training & classification.
+ [scikit-learn](http://scikit ...
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featurex
... from the same speaker are not identified.
The YapHash fingerprint is based on the spectrogram and Mel-frequency-cepstrum-coefficients (MFCC).
The sign of the differences in between the frequency bands and the MFCCs form a compact yet robust audio hash. ...
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