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Library for research in audio analysis, processing and synthesis
Home Page: http://www.ricardmarxer.com/loudia
This project forked from rikrd/loudia
Library for research in audio analysis, processing and synthesis
Home Page: http://www.ricardmarxer.com/loudia
WHAT YOU WILL FIND HERE ----------------------- A C++ library with Python bindings "Loudia" It is used to build audio applications. Loudia is specially targeted for researchers. The algorithms are not necessarily tuned for performance but rather for: * Ease of use * Flexibility and clarity of the algorithms * Variety of algorithms The following algorithms are implemented: * Window * Unwrap * Fast Fourier Transform (FFT/IFFT) (wrapper around libfftw [http://www.fftw.org/]) * Discrete Cosine Transform (DCT) * Filters (based on Scipy [http://www.scipy.org] implementation): - LowPass - HighPass - BandPass - BandStop in the following types: - Chebyshev I - Chebyshev II - Bessel - Butterworth * Correlation / Autocorrelation - Direct calculation - FFT based calculation * Resampling (wrapper around libsamplerate [http://www.mega-nerd.com/SRC/]) * Onset Detection Functions: - High Frequency Content (HFC) - Flux - Phase Deviation - Complex Domain - Modified Kullback-Liebler - Peak Center of Gravity * Pitch Estimation: - Autocorrelation Function based (ACF) - Inverse Problem based * Spectral Bands - Mel bands * MFCC * LPC * Sinusoidal Modelling: - Peak Detection - Peak Interpolation - Peak Tracking * Spectral Whitening * Spectral Noise Suppression * Non-negative Matrix Factorization (NMF) * Other experimental and/or unfinished algorithm implementations - Spectral Reassignment - Adaptative Optimized Kernel (AOK) (modification of AOK 4.1 [http://www.macunix.net/aok.html]) - Peak Synthesis - Incremental Non-negative Matrix Factorization (INMF) - LPC residual Numerous examples which can also be used for testing in some cases can be found in python/ Some of the examples require an audio WAVE filename as input argument. DEPENDENCIES ------------ The C++ library Libaudio requires: - libsamplerate-dev >=0.1.3 - libfftw3-dev >=3.1.2 - gcc - python >=2.5 The Python bindings Libaudio require: - swig - numpy-dev - python-dev Libaudio uses a template library called Eigen (http://eigen.tuxfamily.org). In C++ all algorithms use Eigen::Matrix types as inputs and outputs. In the Python bindings use Numpy arrays as inputs and outputs. BUILD/INSTALL LOUDIA -------------------- To build and install Loudia run: ./waf configure --prefix=/some/install/dir ./waf build sudo ./waf install To uninstall it run: sudo ./waf uninstall Several options allow different building modes. To build without Python bindings run: ./waf configure --no-python-bindings ./waf build --no-python-bindings To build the documentation run: ./waf configure --doc ./waf build --doc To build in debug mode run: ./waf configure --debug ./waf build --debug These options can be combined. QUICK HOWTO ----------- From Python you may create algorithm, change its parameters and call the process method: import numpy import pylab import loudia # We create a 120 samples frame # of a sine at 440 Hz # with a samplerate of 8000 Hz data_frame = numpy.array(numpy.sin(2*numpy.pi*440.0*numpy.arange( 0.0, 120/8000.0, 1/8000.0))) fft = loudia.FFT() fft.setFftSize( 256 ) result = fft.process( data_frame ) # Note that the results of the FFT algorithm # are stacked in rows (we only plot the first) pylab.subplot(211) pylab.plot( abs( result[0,:] ) ) # When setting several parameters we might # not want the algorithm to reconfigure itself # method after each parameter setting, # and we will call the setup() manually fft.setFftSize( 1024, False ) fft.setZeroPhase( True, False ) fft.setup() result = fft.process( data_frame ) # Note that the results of the FFT algorithm # are stacked in rows (we only plot the first) pylab.subplot(212) pylab.plot( abs( result[0,:] ) ) pylab.show() LIMITATIONS ----------- A few assumptions are used when using the library: * Loudia has no algorithm for loading audio frames * All algorithms take Eigen::Matrix types as inputs and outputs in the process() methods * Loudia does NOT have a streaming mode. All algorithms mantain a state which can be reset using reset(). And the process() methods may act on preallocated matrices. Therefore with the use of Eigen::Map, Loudia can be used inside streaming libraries that expose the buffers. --------------------------- Loudia (C) 2008, 2009 Ricard Marxer
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