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rhino_demo_mic.py
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rhino_demo_mic.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 struct
import wave
import pvrhino
from pvrecorder import PvRecorder
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'--access_key',
help='AccessKey obtained from Picovoice Console (https://console.picovoice.ai/)')
parser.add_argument(
'--context_path',
help="Absolute path to context file.")
parser.add_argument(
'--library_path',
help='Absolute path to dynamic library. Default: using the library provided by `pvrhino`')
parser.add_argument(
'--model_path',
help='Absolute path to the file containing model parameters. Default: using the library provided by `pvrhino`')
parser.add_argument(
'--sensitivity',
help="Inference sensitivity. It should be a number within [0, 1]. A higher sensitivity value results in "
"fewer misses at the cost of (potentially) increasing the erroneous inference rate.",
type=float,
default=0.5)
parser.add_argument(
'--endpoint_duration_sec',
help="Endpoint duration in seconds. An endpoint is a chunk of silence at the end of an utterance that marks "
"the end of spoken command. It should be a positive number within [0.5, 5]. A lower endpoint duration "
"reduces delay and improves responsiveness. A higher endpoint duration assures Rhino doesn't return "
"inference preemptively in case the user pauses before finishing the request.",
type=float,
default=1.)
parser.add_argument(
'--require_endpoint',
help="If set to `True`, Rhino requires an endpoint (a chunk of silence) after the spoken command. If set to "
"`False`, Rhino tries to detect silence, but if it cannot, it still will provide inference regardless. "
"Set to `False` only if operating in an environment with overlapping speech (e.g. people talking in the "
"background).",
default='True',
choices=['True', 'False'])
parser.add_argument('--audio_device_index', help='Index of input audio device.', type=int, default=-1)
parser.add_argument('--output_path', help='Absolute path to recorded audio for debugging.', default=None)
parser.add_argument('--show_audio_devices', action='store_true')
args = parser.parse_args()
if args.require_endpoint.lower() == 'false':
require_endpoint = False
else:
require_endpoint = True
if args.show_audio_devices:
for i, device in enumerate(PvRecorder.get_available_devices()):
print('Device %d: %s' % (i, device))
return
if not args.access_key or not args.context_path:
print('--access_key and --context_path are required.')
return
try:
rhino = pvrhino.create(
access_key=args.access_key,
library_path=args.library_path,
model_path=args.model_path,
context_path=args.context_path,
sensitivity=args.sensitivity,
endpoint_duration_sec=args.endpoint_duration_sec,
require_endpoint=require_endpoint)
except pvrhino.RhinoInvalidArgumentError as e:
print("One or more arguments provided to Rhino is invalid: ", args)
print(e)
raise e
except pvrhino.RhinoActivationError as e:
print("AccessKey activation error")
raise e
except pvrhino.RhinoActivationLimitError as e:
print("AccessKey '%s' has reached it's temporary device limit" % args.access_key)
raise e
except pvrhino.RhinoActivationRefusedError as e:
print("AccessKey '%s' refused" % args.access_key)
raise e
except pvrhino.RhinoActivationThrottledError as e:
print("AccessKey '%s' has been throttled" % args.access_key)
raise e
except pvrhino.RhinoError as e:
print("Failed to initialize Rhino")
raise e
print('Rhino version: %s' % rhino.version)
print('Context info: %s' % rhino.context_info)
recorder = PvRecorder(
frame_length=rhino.frame_length,
device_index=args.audio_device_index)
recorder.start()
print('Using device: %s' % recorder.selected_device)
print('Listening ... Press Ctrl+C to exit.\n')
wav_file = None
if args.output_path is not None:
wav_file = wave.open(args.output_path, 'wb')
wav_file.setnchannels(1)
wav_file.setsampwidth(2)
wav_file.setframerate(recorder.sample_rate)
try:
while True:
pcm = recorder.read()
if wav_file is not None:
wav_file.writeframes(struct.pack("h" * len(pcm), *pcm))
is_finalized = rhino.process(pcm)
if is_finalized:
inference = rhino.get_inference()
if inference.is_understood:
print('{')
print(" intent : '%s'" % inference.intent)
print(' slots : {')
for slot, value in inference.slots.items():
print(" %s : '%s'" % (slot, value))
print(' }')
print('}\n')
else:
print("Didn't understand the command.\n")
except KeyboardInterrupt:
print('Stopping ...')
finally:
recorder.delete()
rhino.delete()
if wav_file is not None:
wav_file.close()
if __name__ == '__main__':
main()