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import numpy as np
import sndobj
import simpl
float_precision = 2
class TestSimplSndObj:
pass
# def test_ifgram(self):
# "Compare sndobj.IFGram with simplsndobj.IFGram"
# frame_size = 2048
# hop_size = 512
# num_frames = 4
# num_samples = frame_size + ((num_frames - 1) * hop_size)
# audio_in_data = read(self.input_file)
# audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
# audio_in = audio_in[0:num_samples]
# frame = simpl.zeros(frame_size)
# sndobj_input = sndobj.SndObj()
# simpl_input = pysndobj.SndObj()
# sndobj_input.SetVectorSize(frame_size)
# simpl_input.SetVectorSize(frame_size)
# sndobj_window = sndobj.HammingTable(frame_size, 0.5)
# simpl_window = pysndobj.HammingTable(frame_size, 0.5)
# sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
# simpl_ifgram = pysndobj.IFGram(simpl_window, simpl_input, 1, frame_size, hop_size)
# i = 0
# while (i + frame_size) <= num_samples:
# frame = audio_in[i:i+frame_size]
# sndobj_input.PushIn(frame)
# simpl_input.PushIn(frame)
# sndobj_ifgram.DoProcess()
# simpl_ifgram.DoProcess()
# for j in range(frame_size):
# self.assertAlmostEquals(sndobj_ifgram.Output(j), simpl_ifgram.Output(j),
# places = FLOAT_PRECISION)
# i += hop_size
# def test_sinanal(self):
# "Compare sndobj.SinAnal with simplsndobj.SinAnal"
# frame_size = 2048
# hop_size = 512
# max_tracks = 20
# num_frames = 4
# num_samples = frame_size + ((num_frames - 1) * hop_size)
# audio_in_data = read(self.input_file)
# audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
# audio_in = audio_in[0:num_samples]
# frame = simpl.zeros(frame_size)
# sndobj_input = sndobj.SndObj()
# simpl_input = pysndobj.SndObj()
# sndobj_input.SetVectorSize(frame_size)
# simpl_input.SetVectorSize(frame_size)
# sndobj_window = sndobj.HammingTable(frame_size, 0.5)
# simpl_window = pysndobj.HammingTable(frame_size, 0.5)
# sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
# simpl_ifgram = pysndobj.IFGram(simpl_window, simpl_input, 1, frame_size, hop_size)
# sndobj_sinmod = sndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
# simpl_sinmod = pysndobj.SinAnal(simpl_ifgram, 0.003, max_tracks, 1, 3)
# i = 0
# while (i + frame_size) <= num_samples:
# frame = audio_in[i:i+frame_size]
# sndobj_input.PushIn(frame)
# simpl_input.PushIn(frame)
# sndobj_ifgram.DoProcess()
# simpl_ifgram.DoProcess()
# sndobj_sinmod.DoProcess()
# simpl_sinmod.DoProcess()
# for j in range(max_tracks * 3):
# self.assertAlmostEquals(sndobj_sinmod.Output(j), simpl_sinmod.Output(j),
# places = FLOAT_PRECISION)
# i += hop_size
# def test_adsyn_doprocess(self):
# "Compare sndobj.AdSyn with simplsndobj.AdSyn"
# frame_size = 2048
# hop_size = 512
# max_tracks = 20
# num_frames = 4
# num_samples = frame_size + ((num_frames - 1) * hop_size)
# audio_in_data = read(self.input_file)
# audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
# audio_in = audio_in[0:num_samples]
# frame = simpl.zeros(frame_size)
# sndobj_frame_out = simpl.zeros(hop_size)
# simpl_frame_out = simpl.zeros(hop_size)
# sndobj_audio_out = simpl.array([])
# simpl_audio_out = simpl.array([])
# sndobj_input = sndobj.SndObj()
# simpl_input = pysndobj.SndObj()
# sndobj_input.SetVectorSize(frame_size)
# simpl_input.SetVectorSize(frame_size)
# sndobj_window = sndobj.HammingTable(frame_size, 0.5)
# simpl_window = pysndobj.HammingTable(frame_size, 0.5)
# sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
# simpl_ifgram = pysndobj.IFGram(simpl_window, simpl_input, 1, frame_size, hop_size)
# sndobj_sinmod = sndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
# simpl_sinmod = pysndobj.SinAnal(simpl_ifgram, 0.003, max_tracks, 1, 3)
# sndobj_table = sndobj.HarmTable(10000, 1, 1, 0.25)
# simpl_table = pysndobj.HarmTable(10000, 1, 1, 0.25)
# sndobj_synth = sndobj.AdSyn(sndobj_sinmod, max_tracks, sndobj_table, 1, 1, hop_size)
# simpl_synth = pysndobj.AdSyn(simpl_sinmod, max_tracks, simpl_table, 1, 1, hop_size)
# i = 0
# while (i + frame_size) <= num_samples:
# frame = audio_in[i:i+frame_size]
# sndobj_input.PushIn(frame)
# simpl_input.PushIn(frame)
# sndobj_ifgram.DoProcess()
# simpl_ifgram.DoProcess()
# sndobj_sinmod.DoProcess()
# simpl_sinmod.DoProcess()
# sndobj_synth.DoProcess()
# simpl_synth.DoProcess()
# sndobj_synth.PopOut(sndobj_frame_out)
# simpl_synth.PopOut(simpl_frame_out)
# sndobj_audio_out = np.hstack((sndobj_audio_out, sndobj_frame_out))
# simpl_audio_out = np.hstack((simpl_audio_out, simpl_frame_out))
# i += hop_size
# self.assertEqual(sndobj_audio_out.size, simpl_audio_out.size)
# for i in range(sndobj_audio_out.size):
# self.assertAlmostEquals(sndobj_audio_out[i], simpl_audio_out[i],
# places = FLOAT_PRECISION)
# def test_sinsyn_doprocess(self):
# "Compare sndobj.SinSyn with pysndobj.SinSyn"
# frame_size = 2048
# hop_size = 512
# max_tracks = 20
# num_frames = 4
# num_samples = frame_size + ((num_frames - 1) * hop_size)
# audio_in_data = read(self.input_file)
# audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
# audio_in = audio_in[0:num_samples]
# frame = simpl.zeros(frame_size)
# sndobj_frame_out = simpl.zeros(hop_size)
# simpl_frame_out = simpl.zeros(hop_size)
# sndobj_audio_out = simpl.array([])
# simpl_audio_out = simpl.array([])
# sndobj_input = sndobj.SndObj()
# simpl_input = pysndobj.SndObj()
# sndobj_input.SetVectorSize(frame_size)
# simpl_input.SetVectorSize(frame_size)
# sndobj_window = sndobj.HammingTable(frame_size, 0.5)
# simpl_window = pysndobj.HammingTable(frame_size, 0.5)
# sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
# simpl_ifgram = pysndobj.IFGram(simpl_window, simpl_input, 1, frame_size, hop_size)
# sndobj_sinmod = sndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
# simpl_sinmod = pysndobj.SinAnal(simpl_ifgram, 0.003, max_tracks, 1, 3)
# sndobj_table = sndobj.HarmTable(10000, 1, 1, 0.25)
# simpl_table = pysndobj.HarmTable(10000, 1, 1, 0.25)
# sndobj_synth = sndobj.SinSyn(sndobj_sinmod, max_tracks, sndobj_table, 1, hop_size)
# simpl_synth = pysndobj.SinSyn(simpl_sinmod, max_tracks, simpl_table, 1, hop_size)
# i = 0
# while (i + frame_size) <= num_samples:
# frame = audio_in[i:i+frame_size]
# sndobj_input.PushIn(frame)
# simpl_input.PushIn(frame)
# sndobj_ifgram.DoProcess()
# simpl_ifgram.DoProcess()
# sndobj_sinmod.DoProcess()
# simpl_sinmod.DoProcess()
# sndobj_synth.DoProcess()
# simpl_synth.DoProcess()
# sndobj_synth.PopOut(sndobj_frame_out)
# simpl_synth.PopOut(simpl_frame_out)
# sndobj_audio_out = np.hstack((sndobj_audio_out, sndobj_frame_out))
# simpl_audio_out = np.hstack((simpl_audio_out, simpl_frame_out))
# i += hop_size
# self.assertEqual(sndobj_audio_out.size, simpl_audio_out.size)
# for i in range(sndobj_audio_out.size):
# self.assertAlmostEquals(sndobj_audio_out[i], simpl_audio_out[i],
# places = FLOAT_PRECISION)
# def test_partial_tracking(self):
# "Compare pysndobj Partials with SndObj tracks"
# frame_size = 2048
# hop_size = 512
# num_frames = 4
# max_tracks = 20
# max_peaks = 20
# num_samples = frame_size + ((num_frames - 1) * hop_size)
# audio_in_data = read(self.input_file)
# audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
# audio_in = audio_in[0:num_samples]
# frame = simpl.zeros(frame_size)
# sndobj_input = sndobj.SndObj()
# sndobj_input.SetVectorSize(frame_size)
# sndobj_window = sndobj.HammingTable(frame_size, 0.5)
# sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
# sndobj_sinmod = pysndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
# pd = simpl.SndObjPeakDetection()
# pd.max_peaks = max_peaks
# pt = simpl.SndObjPartialTracking()
# pt.max_partials = max_tracks
# i = 0
# while (i + frame_size) <= num_samples:
# frame = audio_in[i:i+frame_size]
# sndobj_input.PushIn(frame)
# sndobj_ifgram.DoProcess()
# sndobj_sinmod.DoProcess()
# frame = audio_in[i:i+frame_size]
# peaks = pd.find_peaks(frame)[0]
# partials = pt.update_partials(peaks, i/hop_size)
# num_sndobj_partials = sndobj_sinmod.GetTracks()
# num_simpl_partials = len(partials)
# self.assertEquals(num_sndobj_partials, num_simpl_partials)
# for j in range(num_simpl_partials):
# self.assertAlmostEquals(partials[j].amplitude, sndobj_sinmod.Output(j*3),
# places=FLOAT_PRECISION)
# self.assertAlmostEquals(partials[j].frequency, sndobj_sinmod.Output((j*3)+1),
# places=FLOAT_PRECISION)
# self.assertAlmostEquals(partials[j].phase, sndobj_sinmod.Output((j*3)+2),
# places=FLOAT_PRECISION)
# i += hop_size
# def test_synthesis(self):
# "Compare pysndobj synthesised audio with SndObj synthesised audio"
# frame_size = 2048
# hop_size = 512
# num_frames = 4
# max_tracks = 20
# max_peaks = 20
# num_samples = frame_size + ((num_frames - 1) * hop_size)
# audio_in_data = read(self.input_file)
# audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
# audio_in = audio_in[0:num_samples]
# frame = simpl.zeros(frame_size)
# sndobj_frame_out = simpl.zeros(hop_size)
# sndobj_audio_out = simpl.array([])
# sndobj_input = sndobj.SndObj()
# sndobj_input.SetVectorSize(frame_size)
# sndobj_window = sndobj.HammingTable(frame_size, 0.5)
# sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
# sndobj_sinmod = pysndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
# sndobj_table = sndobj.HarmTable(10000, 1, 1, 0.25)
# sndobj_synth = sndobj.AdSyn(sndobj_sinmod, max_tracks, sndobj_table, 1, 1, hop_size)
# i = 0
# while (i + frame_size) <= num_samples:
# frame = audio_in[i:i+frame_size]
# sndobj_input.PushIn(frame)
# sndobj_ifgram.DoProcess()
# sndobj_sinmod.DoProcess()
# sndobj_synth.DoProcess()
# sndobj_synth.PopOut(sndobj_frame_out)
# sndobj_audio_out = np.hstack((sndobj_audio_out, sndobj_frame_out))
# i += hop_size
# pd = simpl.SndObjPeakDetection()
# pd.max_peaks = max_peaks
# pt = simpl.SndObjPartialTracking()
# pt.max_partials = max_tracks
# peaks = pd.find_peaks(audio_in)
# partials = pt.find_partials(peaks)
# synth = simpl.SndObjSynthesis()
# simpl_audio_out = synth.synth(partials)
# self.assertEquals(sndobj_audio_out.size, simpl_audio_out.size)
# for i in range(simpl_audio_out.size):
# self.assertAlmostEquals(sndobj_audio_out[i], simpl_audio_out[i],
# places = FLOAT_PRECISION)
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