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porcupine_demo_file.py
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porcupine_demo_file.py
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#
# Copyright 2018-2023 Picovoice Inc.
#
# You may not use this file except in compliance with the license. A copy of the license is located in the "LICENSE"
# file accompanying this source.
#
# Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
# an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
# specific language governing permissions and limitations under the License.
#
import argparse
import os
import struct
import wave
import pvporcupine
def read_file(file_name, sample_rate):
wav_file = wave.open(file_name, mode="rb")
channels = wav_file.getnchannels()
sample_width = wav_file.getsampwidth()
num_frames = wav_file.getnframes()
if wav_file.getframerate() != sample_rate:
raise ValueError("Audio file should have a sample rate of %d. got %d" % (sample_rate, wav_file.getframerate()))
if sample_width != 2:
raise ValueError("Audio file should be 16-bit. got %d" % sample_width)
if channels == 2:
print("Picovoice processes single-channel audio but stereo file is provided. Processing left channel only.")
samples = wav_file.readframes(num_frames)
wav_file.close()
frames = struct.unpack('h' * num_frames * channels, samples)
return frames[::channels]
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'--access_key',
help='AccessKey obtained from Picovoice Console (https://console.picovoice.ai/)',
required=True)
parser.add_argument('--wav_path', help='Absolute path to input .wav file', required=True)
parser.add_argument(
'--keywords',
nargs='+',
help='List of default keywords for detection. '
'Available keywords: %s' % ', '.join('%s' % w for w in sorted(pvporcupine.KEYWORDS)),
choices=sorted(list(pvporcupine.KEYWORDS)),
metavar='')
parser.add_argument(
'--keyword_paths',
nargs='+',
help="Absolute paths to keyword model files. If not set it will be populated from `--keywords` argument")
parser.add_argument(
'--library_path',
help='Absolute path to dynamic library. Default: using the library provided by `pvporcupine`')
parser.add_argument(
'--model_path',
help='Absolute path to the file containing model parameters. '
'Default: using the library provided by `pvporcupine`')
parser.add_argument(
'--sensitivities',
nargs='+',
help="Sensitivities for detecting keywords. Each value should be a number within [0, 1]. A higher "
"sensitivity results in fewer misses at the cost of increasing the false alarm rate. If not set 0.5 "
"will be used.",
type=float,
default=None)
args = parser.parse_args()
if args.keyword_paths is None:
if args.keywords is None:
raise ValueError("Either `--keywords` or `--keyword_paths` must be set.")
keyword_paths = [pvporcupine.KEYWORD_PATHS[x] for x in args.keywords]
else:
keyword_paths = args.keyword_paths
if args.sensitivities is None:
args.sensitivities = [0.5] * len(keyword_paths)
if len(keyword_paths) != len(args.sensitivities):
raise ValueError('Number of keywords does not match the number of sensitivities.')
try:
porcupine = pvporcupine.create(
access_key=args.access_key,
library_path=args.library_path,
model_path=args.model_path,
keyword_paths=keyword_paths,
sensitivities=args.sensitivities)
except pvporcupine.PorcupineInvalidArgumentError as e:
print("One or more arguments provided to Porcupine is invalid: ", args)
print(e)
raise e
except pvporcupine.PorcupineActivationError as e:
print("AccessKey activation error")
raise e
except pvporcupine.PorcupineActivationLimitError as e:
print("AccessKey '%s' has reached it's temporary device limit" % args.access_key)
raise e
except pvporcupine.PorcupineActivationRefusedError as e:
print("AccessKey '%s' refused" % args.access_key)
raise e
except pvporcupine.PorcupineActivationThrottledError as e:
print("AccessKey '%s' has been throttled" % args.access_key)
raise e
except pvporcupine.PorcupineError as e:
print("Failed to initialize Porcupine")
raise e
audio = read_file(args.wav_path, porcupine.sample_rate)
keywords = list()
for x in keyword_paths:
keyword_phrase_part = os.path.basename(x).replace('.ppn', '').split('_')
if len(keyword_phrase_part) > 6:
keywords.append(' '.join(keyword_phrase_part[0:-6]))
else:
keywords.append(keyword_phrase_part[0])
num_frames = len(audio) // porcupine.frame_length
for i in range(num_frames):
frame = audio[i * porcupine.frame_length:(i + 1) * porcupine.frame_length]
result = porcupine.process(frame)
if result >= 0:
print(
"Detected '%s' at %.2f sec" %
(keywords[result], float(i * porcupine.frame_length) / float(porcupine.sample_rate)))
porcupine.delete()
if __name__ == '__main__':
main()