def identify():
song = audio_record.record(10)
spectro_i = audio_record.spectrogram(song)
peaks_i = fingerprinting.find_peaks(spectro_i[0], spectro_i[1])
features = fingerprinting.find_fingerprint(peaks_i, spectro_i[1],
spectro_i[2])
matches = fingerprinting.get_matches(features, database.database)
best_match = fingerprinting.best_match(matches)
if best_match is not None:
print(best_match.name, "by", best_match.artist)
return best_match
def record_sample(cls, _typenames):
(fs, sound) = audio_record.record()
tns = _typenames if type(_typenames) == list else [_typenames]
word_num = len(tns)
create_voice_sample = lambda n, t, f, w: VoiceSample(
"recording_{name}_{num:02d}_{tmstp}.wav".format(name=t, num=n, tmstp=timestamp()), t, fs=f, data=w
)
collection = zip(range(1, word_num + 1), tns, find_words(sound, fs, word_num, plot=True))
return [create_voice_sample(n, t, fs, w) for n, t, w in collection]
def record_sample(cls, _typenames):
(fs, sound) = audio_record.record()
tns = _typenames if type(_typenames) == list else [_typenames]
word_num = len(tns)
create_voice_sample = lambda n,t,f,w: VoiceSample(
"recording_{name}_{num:02d}_{tmstp}.wav".format(name=t,
num=n, tmstp=timestamp()),
t,
fs=f,
data=w)
collection = zip(
range(1,word_num+1),
tns,
find_words(sound, fs, word_num, plot=True))
return [ create_voice_sample(n,t,fs,w) for n,t,w in collection ]
print("\033[1m" + "\033[31m" +
"Login failed... Please check email or password" + "\033[0m")
LOGIN()
if __name__ == "__main__":
f = Figlet(font='small')
print(f.renderText('------------------'))
print(f.renderText(' Hello-! This is '))
print(
f.renderText(
' * Soundee *\n * Recorder *'))
print(f.renderText('------------------'))
LOGIN()
while True:
audio_preprocess.audio_preprocessing(audio_record.record("test"),
"test")
with open(file_path, 'rb') as data:
buckets.upload_file(data.name, key_name)
# request
response = requests.request("POST", url, headers=headers, data=payload)
current_sound_class = response.text
if current_sound_class == 'no_class':
print("Not in class.")
print("This is", current_sound_class, "sound~!")
# insert DB
curs = conn.cursor()
sql = f"insert into sound(class,eventdate,sound_userIdx) values({current_sound_class},NOW(),{userIdx});"
import audio_preprocess
import audio_record
# for j in range(3):
# audio_record.record(j)
# audio_preprocess.audio_preprocessing()
while True:
for j in range(5):
audio_preprocess.audio_preprocessing(audio_record.record(j), j)
model = Model() view = View(model) running = True view.drawPrompt() while running: for event in pygame.event.get(): if event.type == pygame.QUIT: running = False if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: running = False if event.type == pygame.MOUSEBUTTONDOWN and model.state == 'prompt': model.state = 'recording' counting = Process(target = view.drawRecording()) counting.start() recording = Process(target = audio_record.record()) recording.start() if event.type == pygame.MOUSEBUTTONDOWN and model.state == 'complete': (mousex,mousey) = pygame.mouse.get_pos() if mousex > model.width - 150 and mousex < model.width - 50 and mousey > model.height - 150 and mousey < model.height - 50: model.state = 'prompt' view.drawPrompt() if model.state == 'loading': view.drawLoading() pygame.quit()