cv.rar_I AM

========================================================================== PESQ measure: ------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesq(sfreq,cleanfile.wav,enhanced.wav) where 'sfreq' is the sampling frequency in Hz (8000 or 16000 Hz), 'cleanfile.wav' contains the clean speech file and 'enhanced.wav'contains the enhanced file. Example: To run the PESQ objective measure with the example files provided, type in MATLAB: >> pesq(8000,'sp09.wav','enhanced_logmmse.wav') ans = 2.2557 Note that you might encounter an error message (e.g., file is corrupt) if you're using an old version of MATLAB, because of p-code incompatibility. The latest version of MATLAB needs to be run. ======================================================================== COMPOSITE MEASURE: ----------------- Usage: [Csig,Cbak,Covl]=composite(cleanfile.wav,enhanced.wav) where 'Csig' is the predicted rating of speech distortion 'Cbak' is the predicted rating of background distortion 'Covl' is the predicted rating of overall quality. You may run example files included in the zip file. In MATLAB, type: >> [c,b,o]=composite('sp09.wav','enhanced_logmmse.wav') LLR=0.681368 SNRseg=3.991727 WSS=49.671978 PESQ=2.255732 c = 3.3050 b = 2.6160 o = 2.7133 where 'sp09.wav' is the clean file and 'enhanced_logmmse.wav' is the enhanced file. The predicted ratings for overall quality was 2.7133, for background distortion it was 2.61 and for signal distortion it was 3.3050.