<s> import sys , os , alsaaudio , time , audioop , numpy , glob , scipy , subprocess , wave , mlpy , cPickle , threading , shutil <EOL> import matplotlib . pyplot as plt <EOL> import scipy . io . wavfile as wavfile <EOL> from scipy . fftpack import rfft <EOL> import audioFeatureExtraction as aF <EOL> import audioTrainTest as aT <EOL> import audioSegmentation as aS <EOL> from scipy . fftpack import fft <EOL> import matplotlib <EOL> matplotlib . use ( '<STR_LIT>' ) <EOL> Fs = <NUM_LIT> <EOL> def recordAudioSegments ( RecordPath , BLOCKSIZE ) : <EOL> print "<STR_LIT>" <EOL> RecordPath += os . sep <EOL> d = os . path . dirname ( RecordPath ) <EOL> if os . path . exists ( d ) and RecordPath != "<STR_LIT:.>" : <EOL> shutil . rmtree ( RecordPath ) <EOL> os . makedirs ( RecordPath ) <EOL> inp = alsaaudio . PCM ( alsaaudio . PCM_CAPTURE , alsaaudio . PCM_NONBLOCK ) <EOL> inp . setchannels ( <NUM_LIT:1> ) <EOL> inp . setrate ( Fs ) <EOL> inp . setformat ( alsaaudio . PCM_FORMAT_S16_LE ) <EOL> inp . setperiodsize ( <NUM_LIT> ) <EOL> midTermBufferSize = int ( Fs * BLOCKSIZE ) <EOL> midTermBuffer = [ ] <EOL> curWindow = [ ] <EOL> elapsedTime = "<STR_LIT>" % ( time . time ( ) ) <EOL> while <NUM_LIT:1> : <EOL> l , data = inp . read ( ) <EOL> if l : <EOL> for i in range ( len ( data ) / <NUM_LIT:2> ) : <EOL> curWindow . append ( audioop . getsample ( data , <NUM_LIT:2> , i ) ) <EOL> if ( len ( curWindow ) + len ( midTermBuffer ) > midTermBufferSize ) : <EOL> samplesToCopyToMidBuffer = midTermBufferSize - len ( midTermBuffer ) <EOL> else : <EOL> samplesToCopyToMidBuffer = len ( curWindow ) <EOL> midTermBuffer = midTermBuffer + curWindow [ <NUM_LIT:0> : samplesToCopyToMidBuffer ] ; <EOL> del ( curWindow [ <NUM_LIT:0> : samplesToCopyToMidBuffer ] ) <EOL> if len ( midTermBuffer ) == midTermBufferSize : <EOL> curWavFileName = RecordPath + os . sep + str ( elapsedTime ) + "<STR_LIT>" <EOL> midTermBufferArray = numpy . int16 ( midTermBuffer ) <EOL> wavfile . write ( curWavFileName , Fs , midTermBufferArray ) <EOL> print "<STR_LIT>" + curWavFileName <EOL> midTermBuffer = [ ] <EOL> elapsedTime = "<STR_LIT>" % ( time . time ( ) ) <EOL> def recordAnalyzeAudio ( duration , outputWavFile , midTermBufferSizeSec , modelName , modelType ) : <EOL> '''<STR_LIT>''' <EOL> if modelType == '<STR_LIT>' : <EOL> [ Classifier , MEAN , STD , classNames , mtWin , mtStep , stWin , stStep , computeBEAT ] = aT . loadSVModel ( modelName ) <EOL> elif modelType == '<STR_LIT>' : <EOL> [ Classifier , MEAN , STD , classNames , mtWin , mtStep , stWin , stStep , computeBEAT ] = aT . loadKNNModel ( modelName ) <EOL> else : <EOL> Classifier = None <EOL> inp = alsaaudio . PCM ( alsaaudio . PCM_CAPTURE , alsaaudio . PCM_NONBLOCK ) <EOL> inp . setchannels ( <NUM_LIT:1> ) <EOL> inp . setrate ( Fs ) <EOL> inp . setformat ( alsaaudio . PCM_FORMAT_S16_LE ) <EOL> inp . setperiodsize ( <NUM_LIT> ) <EOL> midTermBufferSize = int ( midTermBufferSizeSec * Fs ) <EOL> allData = [ ] <EOL> midTermBuffer = [ ] <EOL> curWindow = [ ] <EOL> count = <NUM_LIT:0> <EOL> while len ( allData ) < duration * Fs : <EOL> l , data = inp . read ( ) <EOL> if l : <EOL> for i in range ( l ) : <EOL> curWindow . append ( audioop . getsample ( data , <NUM_LIT:2> , i ) ) <EOL> if ( len ( curWindow ) + len ( midTermBuffer ) > midTermBufferSize ) : <EOL> samplesToCopyToMidBuffer = midTermBufferSize - len ( midTermBuffer ) <EOL> else : <EOL> samplesToCopyToMidBuffer = len ( curWindow ) <EOL> midTermBuffer = midTermBuffer + curWindow [ <NUM_LIT:0> : samplesToCopyToMidBuffer ] ; <EOL> del ( curWindow [ <NUM_LIT:0> : samplesToCopyToMidBuffer ] ) <EOL> if len ( midTermBuffer ) == midTermBufferSize : <EOL> count += <NUM_LIT:1> <EOL> if Classifier != None : <EOL> [ mtFeatures , stFeatures ] = aF . mtFeatureExtraction ( midTermBuffer , Fs , <NUM_LIT> * Fs , <NUM_LIT> * Fs , <NUM_LIT> * Fs , <NUM_LIT> * Fs ) <EOL> curFV = ( mtFeatures [ : , <NUM_LIT:0> ] - MEAN ) / STD ; <EOL> [ result , P ] = aT . classifierWrapper ( Classifier , modelType , curFV ) <EOL> print classNames [ int ( result ) ] <EOL> allData = allData + midTermBuffer <EOL> plt . clf ( ) <EOL> plt . plot ( midTermBuffer ) <EOL> plt . show ( block = False ) <EOL> plt . draw ( ) <EOL> midTermBuffer = [ ] <EOL> allDataArray = numpy . int16 ( allData ) <EOL> wavfile . write ( outputWavFile , Fs , allDataArray ) <EOL> def main ( argv ) : <EOL> if argv [ <NUM_LIT:1> ] == '<STR_LIT>' : <EOL> if ( len ( argv ) == <NUM_LIT:4> ) : <EOL> recordAudioSegments ( argv [ <NUM_LIT:2> ] , float ( argv [ <NUM_LIT:3> ] ) ) <EOL> else : <EOL> print "<STR_LIT>" + argv [ <NUM_LIT:0> ] + "<STR_LIT>" <EOL> if argv [ <NUM_LIT:1> ] == '<STR_LIT>' : <EOL> if ( len ( argv ) == <NUM_LIT:6> ) : <EOL> duration = int ( argv [ <NUM_LIT:2> ] ) <EOL> outputWavFile = argv [ <NUM_LIT:3> ] <EOL> modelName = argv [ <NUM_LIT:4> ] <EOL> modelType = argv [ <NUM_LIT:5> ] <EOL> if modelType not in [ "<STR_LIT>" , "<STR_LIT>" ] : <EOL> raise Exception ( "<STR_LIT>" ) <EOL> if not os . path . isfile ( modelName ) : <EOL> raise Exception ( "<STR_LIT>" ) <EOL> recordAnalyzeAudio ( duration , outputWavFile , <NUM_LIT> , modelName , modelType ) <EOL> else : <EOL> print "<STR_LIT>" + argv [ <NUM_LIT:0> ] + "<STR_LIT>" <EOL> if __name__ == '<STR_LIT:__main__>' : <EOL> main ( sys . argv ) </s>
