xinkez / thesis-bss

List of matlab/octave used in thesis "binaural" by bagustris

thesis-bss

list of matlab / octave script used on master thesis by bagustris. The theme of thesis is binaural sound sources separation. Pdf file is available here

In this thesis, I evaluated some common methods in binaural sound separation: ICA (with max likelihood estimation, ICA with Binary Mask (ICABM), binural model using phase difference channel weighting [4], and my-proposed-method FastICA with Binary Mask (FastICABM).

This is the source code for underdetermined separation of instaneous speech mixtures with FastICA and binary mask and the comparison for benchmark.

The algorithm is described in

1. Michael Syskind Pedersen, DeLiang Wang, Jan Larsen and Ulrik Kjems: Two-microphone Separation of Speech Mixtures, 2006, Submitted for publication.
2. Michael Syskind Pedersen, DeLiang Wang, Jan Larsen and Ulrik Kjems, Overcomplete Blind Source Separation by Combining ICA and Binary Time-Frequency Masking, IEEE International workshop on Machine Learning for Signal Processing, pp. 15-20, 2005
3. Hyvärinen, A., Erkki, H. 2000. Independent Component Analysis: Algorithm and Applications. Neural Networks, 13(4-5):411-430, 2000
4. C. Kim, K. Kumar, B. Raj, , and R. M. Stern, “Signal separation for robust speech recognition based on phase difference information obtained in the fre- quency domain,” INTERSPEECH, pp. 2495–2498, 2009.

All files should be in the same directory. The algorithm is run by calling each icabm.m and fasticabm.m. For ICA algoritrh, can be directy run from worskpace and for PDCW can be obtained from the source.

A number of parameters can be specified in those files.

• N : Number of sources in mixture
• NFFT : DFT length
• winnumber : Selects window function
• k : Window length is NFFT/k
• noverlapfactor : Overlap between consecutive windows
• th : Mask threshold?
• TC1 : Merge finalstereo signals if correlation is above TC1
• TC2 : Merge finalstereo and enerstereo if correlation is above TC2
• stopthresholdini : One source if condition number is above this value
• thepow : tau_E (see [1])

All codes is copyrighted by its own author. The codes from me are licensed GNU/LGPL v2. Run main.m to get the demo. You can change the input file by your own data.