c@11: classdef messl_massef < MASSEFseparator
c@11: %MESSL_MASSEF Wrapper class for the MESSL algorithm.
c@11: %
c@11: %   A wrapper class for the MESSL algorithm (https://github.com/mim/messl).
c@11: %
c@11: %   MESSL_MASSEF properties:
c@11: %       label       - A label for the instance of the algorithm (shown in
c@11: %                     the results file).
c@11: %       estTag      - Tags for the estimated outputs.
c@11: %       fs          - The sampling frequency that the separator will run
c@11: %                     at.
c@11: %
c@11: %   MESSL_MASSEF methods:
c@11: %       messl_massef    - Create an instance of the algorithm.
c@11: %       separate        - Run the separation algorithm on the time-domain
c@11: %                         mixture.
c@11: %
c@11: %   See also MASSEF.
c@11: 
c@11: %   Copyright 2016 University of Surrey.
c@11:     
c@11:     properties % Public properties
c@11:         fs     % Sampling frequency
c@11:     end
c@11:     
c@11:     methods
c@11:         
c@11:         function obj = messl_massef(fs) % constructor
c@11:         %MESSL_MASSEF Create an instance of the separation algorithm
c@11:         %
c@11:         %   OBJ = MESSL_MASSEF(FS) creates an instance of the MESSL
c@11:         %   algorithm at the sampling frequency FS.
c@11:             
c@11:             % this code creates an instance of the object
c@11:             obj.label = 'MESSL';
c@11:             obj.estTag = {'Fancier usage'};
c@11:             obj.fs = fs;
c@11:             
c@11:             % check dependency is compiled
c@11:             iosr.general.checkMexCompiled('logProbGmm.cpp');
c@11:             
c@11:         end
c@11:         
c@11:         % separation
c@11:         function [signal,mask,est_azis,est_eles] = separate(obj,mixture)
c@11:         %SEPARATE separate the mixture
c@11:         %
c@11:         %   SIGNAL = OBJ.SEPARATE(MIXTURE) separates the time-domain
c@11:         %   mixture signal MIXTURE and produces the estimated output
c@11:         %   SIGNAL.
c@11:             
c@11:             lr = mixture';
c@11:             tau = tauGrid(0.15, obj.fs, 31);
c@11:             
c@11:             m = messl(lr, tau, 2, 'vis', 1, 'ildPriorPrec', 3, ...
c@11:                 'GarbageSrc', 1, 'sr', 16000, 'vis', 0);
c@11:             
c@11:             m2 = prob2mask(m);
c@11:             signal = reconstruct(m2, lr, 1);
c@11:             
c@11:             mask = [];
c@11:             est_azis = [];
c@11:             est_eles = [];
c@11:             
c@11:         end
c@11:         
c@11:     end
c@11:     
c@11: end