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Some Trials of Blind Source Separation

We show some results of our experiments on Blind Source Separation. In every experiment, the number of the inputs and the outputs is 2. The following files are all stereo sound files. Left channel and right channel correspond to the inputs to the microphne 1 and microphne 2, respectively. Links to our matlab codes and C codes (last updated in 1998).

N. Murata, S. Ikeda, A. Ziehe, "An approach to blind source separation based on temporal structure of speech signals,'' Neurocomputing, 41(1-4), 1-24, Oct. 2001
S. Ikeda, N. Murata, "A method of blind separation based on temporal structure of signals,'' ICONIP'98, 737-742, Kitakyushu, Japan, Oct. 1998
N. Murata, S. Ikeda, "An on-line algorithm for blind source separation on speech signals,'' NOLTA'98, 923-926, Crans-Montana, Switzerland, Sep. 1998

 
I. Signals Mixed on Computer
II. Signals from Dr. Te-Won Lee's Home Page
III. Signals from Mr. Paris Smaragdis' Home Page
IV. Signals from Prof. Kota Takahashi
V. Signals from Dr. Mark Girolami
VI. Online Learning Algorithm

I. Signals Mixed on Computer 

These examples are artificially mixed on DEC Alpha station 200 after recording each source signal separately. For the detail, please go to the description page.

1. Instantaneous mixtures

2. Convolutive mixtures I

3. Convolutive mixtures II (in a virtual room)

II. Signals from Dr. Te-Won Lee's Home Page 

These examples are taken from Dr. Te-Won Lee's Home page at the Salk Institute.

1. Speech - Music Separation

2. Speech - Speech Separation

3. Speech - Speech Separation in difficult environments

III. Signals from Mr. Paris Smaragdis' Home Page 

This example is taken from Dr. Paris Smaragdis' Home Page in 90's.

Sampling Rate was modified for our experiment (Input stereo sound). We need the data to be sampled with 16 kHz. This is because of the practical reason of the calculation. We are using MATLAB, and restricted amount of memory. So, we changed the sampling rate from 44.1 kHz to 16 kHz with free software "sox".

IV. Signals from Prof. Kota Takahashi 

These data were given by Prof. Kota Takahashi (Japanese only) in the University of Electro-Communication.

1. Speech - Speech Separation in difficult environments

These data were recorded in a real environment.

2. Speech - Speech Separation in difficult environments

This data were also recorded in the same lab. But they include more reflections.

V. Signals from Dr. Mark Girolami 

Dr. Mark Girolami gave me some data, and I used them for experiments.

1. Speech - Speech

These data were recorded in a real environment.

2. Speech - Noise (Gaussian)

3. Speech - Noise (Laplace)

4. Speech - Noise (Gaussian)

5. Speech - Noise (Laplace)

VI. Online Learning Algorithm 

These examples are artificially mixed on DEC Alpha station 200 after recording each source signal separately.

1. Online Learning

Belief Propagation

S. Ikeda, T. Tanaka, S. Amari, "Stochastic reasoning, free energy, and information geometry,'' Neural Computation, 16(9), 1779-1810, Sep. 2004
S.keda, T. Tanaka, S. Amari, "Information geometry of turbo and low-density parity-check codes,'' IEEE transaction on Information Theory, 50(6), 1097-1114, Jun. 2004

Acceleration of the EM algoritum

S. Ikeda, "Acceleration of the EM algorithm,'' Systems and Computers in Japan, John Wiley & Sons, Inc., 31(2), 10-18, Feb, 2000

Channel Capacity

S. Ikeda, J.H. Manton, "Capacity of a single spiking neuron channel," Neural Computation, 21 (6), 1714-1748, 2009
S. Ikeda, K. Hayashi, T. Tanaka, "Capacity and modulations with peak power constraint,'' arXiv:1005.3889

Rate-Distortion Function

K. Watanabe, S. Ikeda, "Rate-distortion function for gamma sources under absolute-log distortion measure," ISIT2013, 2557-2561, Istanbul, Turkey, Jul. 2013

X-ray diffraction

S. Ikeda, H. Kono, "Phase retrieval from single biomolecule diffraction pattern," Optics Express, 20(4), 3375-3387, 2012

Interferometer

M. Honma, K. Akiyama, M. Uemura, S. Ikeda, "Super-resolution imaging with radio interferometer using sparse modeling," arXiv:1407.2422

Compton Camera Imaging

S. Ikeda, H. Odaka, M. Uemura, T. Takahashi, S. Watanabe, S. Takeda, "Bin Mode Estimation Methods for Compton Camera Imaging," arXiv:1312.4291
Last updated 2018-11-09