Mercurial > hg > massef
view help_html/source/help_MASSEF_execute.m @ 38:c7d11a428a0d tip master
Merge branch 'develop'
* develop:
Updated copyright year.
author | Christopher Hummersone <c.hummersone@surrey.ac.uk> |
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date | Tue, 16 May 2017 12:15:34 +0100 |
parents | aea77872f608 |
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%% MASSEF.execute % Run MASSEF using input mixtures and separators. % %% Syntax % % massef.execute(mixtures,separators) % massef.execute(mixtures) % % |massef.execute(mixtures,separators)| runs the multichannel audio source % separation evaluation framework (MASSEF) using the <help_MASSEF.html % MASSEF> instance |massef|, the array of <matlab:doc('iosr.bss.mixture') % |iosr.bss.mixture|> objects |mixtures| and the array (or cell array) of % instances of separation algorithms contained in |separators|. Separation % is performed for all combinations of separators and mixtures. The % separation algorithm instances contained in |separators| should conform % to the <help_Separators.html required format>. % % The |execute| method performs evaluations of the algorithm according to % the data returned by the algorithm, and the options provided to % <help_MASSEF.html MASSEF>. % % If the separation algorithm returns a signal, then |MASSEF.execute| % evaluates: % % * signal-to-noise ratio (SNR); % * signal-to-ideal-noise ratio (SINR) (the SNR with respect to the signal % reconstructed using the ideal binary and ratio masks). % % In addition, if |evalPEASS| is true, then PEASS and BSSeval evaluation is % performed. If |evalSTOI| is true, then STOI evaluation is performed. % % If the separation algorithm returns a mask, and if the ideal mask % dimensions match the estimated mask dimensions, then |MASSEF.execute| % evaluates: % % * ideal mask ratio (IMR) with respect to the ideal binary and ratio % masks. % % If the separation algorithm returns a mask but no signals, then MASSEF % attempts to calculate the estimate signal in order to calculate the % signal-related metrics mentioned above. % % The |execute| method also calculates and evaluates the ideal binary and % ratio masks using the signal-related metrics utilised for the algorithm % evaluation. The masks are calculated using the settings that are local to % each <matlab:doc('iosr.bss.mixture') |iosr.bss.mixture|> object. % % Lastly, the framework captures the estimated azimuth and elevation of the % targets and interferer(s), if they are returned. % % Once the evaluation is complete, the <help_MASSEF.html MASSEF> object, % which contains the results data in |MASSEF.results| as a % <help_MASSEFresults.html MASSEFresults> object, is saved to the file % given by |MASSEF.results_filename|. The separation and mixture objects % are also saved. % % |massef.execute(mixtures)| evaluates only the ideal masks. % %% See also % <help_MASSEF.html MASSEF>, <help_MASSEF_evaluate.html MASSEF.evaluate>, % <help_MASSEFresults.html MASSEFresults>, % <matlab:doc('iosr.bss.generateMixtures') iosr.bss.generateMixtures>, % <matlab:doc('iosr.bss.resynthesise') iosr.bss.resynthesise>. % % <html> % <hr> % <p>Copyright © 2017 <a href="http://www.surrey.ac.uk">University of Surrey</a><br> % <a href="http://iosr.uk">Institute of Sound Recording, University of Surrey, UK</a></p> % </html>