def playRegion( adata, rtype, rgnIdx ):
# Get this region quantum
q = cluster.getRegionsOfType( adata.analysis, rtype )[rgnIdx]
# Don't know what to do right now. Write to wav file and do a system call.
aout = adata[ q ]
aout.encode('/tmp/noplay.wav')
os.system( 'aplay /tmp/noplay.wav' )
def playRegion(adata, rtype, rgnIdx):
# Get this region quantum
q = cluster.getRegionsOfType(adata.analysis, rtype)[rgnIdx]
# Don't know what to do right now. Write to wav file and do a system call.
aout = adata[q]
aout.encode('/tmp/noplay.wav')
os.system('aplay /tmp/noplay.wav')
print 'Playing cluster %d (of %d), section %d (of %d)' % \
(clSection, clsec.nbClusters(), currSec, \
clsec.sizeOfCluster(clSection) )
currFn = clsec.getFilenameOfRegion(currSec)
csong = getSongFromCache(currFn)
# must be in the cache
assert csong != None
if warmUpCounter > 0:
warmUpCounter -= 1
if warmUpCounter == 0:
print 'MASHING...'
else:
# a) get the section audio
rgnIdx = clsec.getSongRegionIdx(currSec) # an int
allSectionsForSong = cluster.getRegionsOfType( \
csong.m_adata.analysis, 'sections' ) # array of quanta
secAData = csong.m_adata[allSectionsForSong[rgnIdx]]
# b) get the beat concat audio and merge
(beatAData, indexBars) = addBarsToAudio( \
clInfo, csong.m_adata, allSectionsForSong[rgnIdx], \
indexBars )
# Let's not always mix, it can sound messy
if np.random.random() < 0.25:
secnResult = audio.mix( secAData, beatAData )
else:
secnResult = beatAData
#secAData = addBeatsToAudio( clInfo, csong.m_adata, \
# allSectionsForSong[rgnIdx] )
playAudioData( secnResult )
# todo: keep a history and don't go back too early?
print 'Playing cluster %d (of %d), section %d (of %d)' % \
(clSection, clsec.nbClusters(), currSec, \
clsec.sizeOfCluster(clSection) )
currFn = clsec.getFilenameOfRegion(currSec)
csong = getSongFromCache(currFn)
# must be in the cache
assert csong != None
if warmUpCounter > 0:
warmUpCounter -= 1
if warmUpCounter == 0:
print 'MASHING...'
else:
# a) get the section audio
rgnIdx = clsec.getSongRegionIdx(currSec) # an int
allSectionsForSong = cluster.getRegionsOfType( \
csong.m_adata.analysis, 'sections' ) # array of quanta
secAData = csong.m_adata[allSectionsForSong[rgnIdx]]
# b) get the beat concat audio and merge
(beatAData, indexBars) = addBarsToAudio( \
clInfo, csong.m_adata, allSectionsForSong[rgnIdx], \
indexBars )
# Let's not always mix, it can sound messy
if np.random.random() < 0.25:
secnResult = audio.mix(secAData, beatAData)
else:
secnResult = beatAData
#secAData = addBeatsToAudio( clInfo, csong.m_adata, \
# allSectionsForSong[rgnIdx] )
playAudioData(secnResult)
# todo: keep a history and don't go back too early?
