comparison help_html/source/messl_massef.m @ 11:f4d7400f5cf4

Added messl_massef to example.

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