def record_and_trim(wakeword, nb_records=3):
input(
"You will record %s samples for your wakeword. Be sure to be in a quiet environment. Press enter once you are ready"
% nb_records)
directory = os.path.join('', wakeword)
if os.path.exists(directory):
os.system("rm -rf " + directory)
os.makedirs(directory)
is_validated = False
while not is_validated:
audios = []
for i in range(nb_records):
record_one(directory, i)
dest_path = os.path.join(directory, "{0}.wav".format(i))
audio = Audio.from_file(dest_path)
audio.trim_silences(SNR_TRIM)
while audio.duration() > MAX_RECORD_DURATION:
print(
"WARNING: there seems to be too much noise in your environment."
)
record_one(directory, i)
audio = Audio.from_file(dest_path)
audio.trim_silences(SNR_TRIM)
audios.append(audio)
if any([
abs(audio_1.duration() - audio_2.duration()) >
MAX_DIFFERENCE_DURATION for i, audio_1 in enumerate(audios)
for j, audio_2 in enumerate(audios) if i < j
]):
print(
"WARNING: there seems to be too much difference between your records."
)
else:
is_validated = True
for i, audio in enumerate(audios):
dest_path = os.path.join(directory, "{0}.wav".format(i))
audio.write(dest_path)
#remove silences:
for i, audio in enumerate(audios):
dest_path = os.path.join(directory, "{0}.wav".format(i))
audio = Audio.from_file(dest_path)
audio.write(dest_path.replace('.wav', '_uncut.wav'))
audio.trim_silences(SNR_TRIM_CUT)
audio.write(dest_path)
path = os.path.join(os.path.dirname(os.path.realpath(__file__)), directory)
print("Your samples have been saved in %s" % path)
def record_and_trim(hotword_key, nb_records=3):
raw_input("Your will have to record your personal hotword." \
" Please be sure to be in a quiet environment." \
" Press enter once you are ready.\n".format(
nb_records))
directory = os.path.join(FOLDER_BASE, "personal_{0}".format(str(datetime.datetime.now().strftime(DATE_FORMAT))))
os.makedirs(directory)
is_validated = False
while not is_validated:
audios = []
for i in range(nb_records):
record_one(directory, i)
dest_path = os.path.join(directory, "{0}.wav".format(i))
audio = Audio.from_file(dest_path)
audio.trim_silences(SNR_TRIM)
while audio.duration() > MAX_RECORD_DURATION:
print "WARNING: there seems to be too much noise in your" \
" environment please retry to record this sample by " \
"following the instructions."
record_one(directory, i)
audio = Audio.from_file(dest_path)
audio.trim_silences(SNR_TRIM)
audios.append(audio)
if any([abs(
audio_1.duration() - audio_2.duration()) > MAX_DIFFERENCE_DURATION
for i, audio_1 in enumerate(audios) for j, audio_2 in
enumerate(audios) if i < j]):
print "WARNING: there seems to be too much difference between " \
"your records please retry to record all of them by following " \
"the instructions."
else:
is_validated = True
for i, audio in enumerate(audios):
dest_path = os.path.join(directory, "{0}.wav".format(i))
audio.write(dest_path)
config = {
"hotword_key": hotword_key,
"kind": "personal",
"dtw_ref": 0.22,
"from_mfcc": 1,
"to_mfcc": 13,
"band_radius": 10,
"shift": 10,
"window_size": 10,
"sample_rate": RATE,
"frame_length_ms": 25.0,
"frame_shift_ms": 10.0,
"num_mfcc": 13,
"num_mel_bins": 13,
"mel_low_freq": 20,
"cepstral_lifter": 22.0,
"dither": 0.0,
"window_type": "povey",
"use_energy": False,
"energy_floor": 0.0,
"raw_energy": True,
"preemphasis_coefficient": 0.97,
"model_version": 1
}
with open(os.path.join(directory, "config.json"), "wb") as f:
json.dump(config, f, indent=4)
print "Your model has been saved in {0}".format(
os.path.join(os.path.dirname(os.path.realpath(__file__)), directory))