Spaces:
Sleeping
Sleeping
File size: 2,049 Bytes
f6e8e0d 8c3a864 f6e8e0d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/quickstart/python/from-microphone
"""
import argparse
import azure.cognitiveservices.speech as speechsdk
from project_settings import environment, project_path
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--speech_key",
default=environment.get("speech_key"),
type=str
)
parser.add_argument(
"--service_region",
default=environment.get("service_region"),
type=str
)
parser.add_argument(
"--filename",
default=(project_path / "data/asr_examples/ja-JP/vm_2cb56b0c-e214-4a8d-ab01-a3a264d06c35_0.wav").as_posix(),
type=str
)
parser.add_argument(
"--language",
default="ja-JP",
type=str
)
args = parser.parse_args()
return args
def main():
args = get_args()
speech_config = speechsdk.SpeechConfig(
subscription=args.speech_key,
region=args.service_region,
speech_recognition_language=args.language
)
audio_config = speechsdk.AudioConfig(
filename=args.filename,
)
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)
result = speech_recognizer.recognize_once_async().get()
if result.reason == speechsdk.ResultReason.RecognizedSpeech:
print("Recognized: {}".format(result.text))
elif result.reason == speechsdk.ResultReason.NoMatch:
print("No speech could be recognized: {}".format(result.no_match_details))
elif result.reason == speechsdk.ResultReason.Canceled:
cancellation_details = result.cancellation_details
print("Speech Recognition canceled: {}".format(cancellation_details.reason))
if cancellation_details.reason == speechsdk.CancellationReason.Error:
print("Error details: {}".format(cancellation_details.error_details))
return
if __name__ == '__main__':
main()
|