def process(self, wave_data: numpy.ndarray):
if len(self.track) < len(wave_data):
beat_track = numpy.tile(self.track,
(len(wave_data) // len(self.track)) + 1)
return mix_tracks(beat_track * 0.4, wave_data, align="center")
else:
return wave_data
def process(self, wave_data: numpy.ndarray):
with open("tools/data/ambiance/war_mood.wav", "rb") as sndfile:
rate, track_data = read(sndfile)
# rnd_pos = random.randint(0,len(track_data) - len(wave_data))
print(len(track_data))
return mix_tracks(track_data[rate * 3:len(wave_data) + rate * 5] * 0.4,
wave_data,
align="center")
def process(self, wave_data: np.ndarray):
if random.randint(1, 2) == 1:
sample = random.choice(self.samples) * 0.3
if self.type_folder == "burps":
wave_data = np.insert(wave_data, random.randint(1, len(wave_data)), sample)
else:
wave_data = mix_tracks(wave_data, sample, offset=random.randint(1, len(wave_data)))
return wave_data
def process(self, wave_data: np.ndarray):
padding_time = self.rate * 2
rnd_pos = random.randint(
0,
len(self.track_data) - len(wave_data) - padding_time)
return mix_tracks(self.track_data[rnd_pos:rnd_pos +
len(wave_data) + padding_time] *
self.gain,
wave_data * 1.2,
align="center")
def process(self, wave_data: numpy.ndarray):
if random.randint(0,1):
randoum = random.randint(1, 3)
if randoum == 1:
wave_data = numpy.concatenate((wave_data, random.choice(self.tracks["laugh_track"])))
elif randoum == 2:
wave_data = numpy.concatenate((wave_data, random.choice(self.tracks["applaud"])))
elif randoum == 3:
boo_track_id = self.find_nearest(self.tracks["boo"], len(wave_data))
wave_data = mix_tracks(wave_data, self.tracks["boo"][boo_track_id], align="right")
return wave_data
def process(self, wave_data: numpy.ndarray):
if random.randint(0,1):
randoum = random.randint(1, 3)
if randoum == 1:
wave_data = numpy.concatenate((wave_data, random.choice(self.tracks["laugh_track"])))
elif randoum == 2:
wave_data = numpy.concatenate((wave_data, random.choice(self.tracks["applaud"])))
elif randoum == 3:
boo_track_id = self.find_nearest(self.tracks["boo"], len(wave_data))
wave_data = mix_tracks(wave_data, self.tracks["boo"][boo_track_id], align="right")
return wave_data
def process(self, wave_data: numpy.ndarray):
if len(self.track) < len(wave_data):
beat_track = numpy.tile(self.track, (len(wave_data) // len(self.track)) + 1)
return mix_tracks(beat_track * 0.4, wave_data, align="center")
else:
return wave_data
def process(self, wave_data: numpy.ndarray):
padding_time = self.rate * 2
rnd_pos = random.randint(0, len(self.track_data) - len(wave_data) - padding_time)
return mix_tracks(self.track_data[rnd_pos:rnd_pos + len(wave_data) + padding_time] * self.gain,
wave_data,
align="center")
def process(self, wave_data: np.ndarray) -> np.ndarray:
padding_time = self.rate * 1.5
rnd_pos = random.randint(0, len(self.fx_wave_array) - len(wave_data) - padding_time)
return mix_tracks(self.fx_wave_array[rnd_pos:rnd_pos + len(wave_data) + int(padding_time)] * 1.3,
wave_data,
align="center")
def process(self, wave_data: np.ndarray):
with open("tools/data/ambiance/war_mood.wav", "rb") as sndfile:
rate, track_data = read(sndfile)
# rnd_pos = random.randint(0,len(track_data) - len(wave_data))
print(len(track_data))
return mix_tracks(track_data[rate*3:len(wave_data) + rate*5] * 0.4, wave_data, align="center")