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1 %% MASSEF.execute
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2 % Run MASSEF using input audio files.
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3 %
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4 %% Syntax
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5 %
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6 % massef.evaluate(originalFiles,estimateFile)
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7 % massef.evaluate(originalFiles,estimateFile,tag)
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8 % massef.evaluate(originalFiles,estimateFile,tag,mixNum)
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9 % massef.evaluate(originalFiles,estimateFile,tag,mixNum,sepNum)
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10 % massef.evaluate(originalFiles,estimateFile,tag,mixNum,sepNum,estNum)
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11 %
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12 % |massef.evaluate(originalFiles,estimateFile)| runs the framework using
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13 % the true sources provided in the wav files whose filenames are contained
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14 % in the cell array |originalFiles| (the target source is the first one)
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15 % and the estimate provided in the wav file with filename |estimateFile|.
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16 %
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17 % The method may be called as many times as desired. Use |massef.save()|
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18 % when finished to save the framework and its data to a file.
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19 %
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20 % |massef.evaluate(originalFiles,estimateFile,tag)| writes the char array
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21 % |tag| to the results data. Use the tag to identify different estimates in
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22 % the results data.
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23 %
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24 % |massef.evaluate(originalFiles,estimateFile,tag,mixNum)| uses the mixture
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25 % number |mixNum| to identify the separation of a particular mixture.
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26 % |mixNum| is a key that can be used with |MASSEFresults.mixtureInfo()| in
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27 % order to add information about a particular mixture.
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28 %
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29 % |massef.evaluate(originalFiles,estimateFile,tag,mixNum,sepNum)| uses the
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30 % separator number |sepNum| to identify the separation from a particular
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31 % algorithm. |sepNum| is a key that can be used with
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32 % |MASSEFresults.algorithmInfo()| in order to add information about a
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33 % particular algorithm.
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34 %
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35 % |massef.evaluate(originalFiles,estimateFile,tag,mixNum,sepNum,estNum)|
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36 % uses the estimate number |estNum| to identify different estimates
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37 % from a given algorithm (e.g. a binary or soft mask output).
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38 %
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39 %% See also
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40 % <help_MASSEF.html MASSEF>,
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41 % <help_MASSEFresults.html MASSEFresults>.
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42 %
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43 % <html>
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44 % <hr>
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45 % <p>Copyright © 2017 <a href="http://www.surrey.ac.uk">University of Surrey</a><br>
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46 % <a href="http://iosr.uk">Institute of Sound Recording, University of Surrey, UK</a></p>
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47 % </html>
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