コード例 #1
0
#	analyze clarinet tone
#
print 'analyzing clarinet 4G# (%s)' % time.ctime(time.time())
a = loris.Analyzer( 390 )
a.setFreqDrift( 30 )
a.setAmpFloor( -80 )

cf = loris.AiffFile( os.path.join(path, 'clarinet.aiff') )
v = cf.samples()
samplerate = cf.sampleRate()

clar = a.analyze( v, samplerate )

print 'checking SDIF export/import'
loris.exportSdif( 'clarinet.pytest.sdif', clar )
clar = loris.importSdif( 'clarinet.pytest.sdif' )

try:
	print 'making a bogus attempt at writing an Spc file'
	print 'WARNING: this will fail because the Partials are unchannelized'
	loris.exportSpc( 'bad_spc_file.pytest.spc', clar, 90 )
except:
	import sys
	print 'caught:', sys.exc_type, sys.exc_value

loris.channelize( clar, loris.createFreqReference( clar, 415*.8, 415*1.2 ), 1 )
loris.distill( clar )

# just for fun, print out the average 
# frequency of the first partial in the
# clarinet analysis:
コード例 #2
0
ファイル: auto_loris.py プロジェクト: dbaaaaaarrett/Spectmore
	def analyze_if_needed(self, aiff_file = None):
		if aiff_file and os.path.isfile(aiff_file[:-4]+'.sdif'):#is there a twin sdif analysis
			self.analysis = loris.importSdif(aiff_file[:-4]+'.sdif')#if so, use it
		else:
			self.analyze(aiff_file)
		return self
コード例 #3
0
ファイル: morphtest.py プロジェクト: gesellkammer/loristrck
#   analyze clarinet tone
#
print 'analyzing clarinet 4G# (%s)' % time.ctime(time.time())
a = loris.Analyzer(390)
a.setFreqDrift(30)
a.setAmpFloor(-80)

cf = loris.AiffFile(os.path.join(path, 'clarinet.aiff'))
v = cf.samples()
samplerate = cf.sampleRate()

clar = a.analyze(v, samplerate)

print 'checking SDIF export/import'
loris.exportSdif('clarinet.pytest.sdif', clar)
clar = loris.importSdif('clarinet.pytest.sdif')

try:
    print 'making a bogus attempt at writing an Spc file --'
    print 'this will fail because the Partials are unchannelized'
    loris.exportSpc('bad_spc_file.pytest.spc', clar, 90)
except:
    import sys
    print 'caught:', sys.exc_type
    print 'error is:', sys.exc_value
    print 'OK, moving on!'

loris.channelize(clar, 415)
loris.distill(clar)

# just for fun, print out the average