我在我的项目中使用了算法语音到文本，没有 docker，我的项目运行良好，但是当我向我的项目添加 dockerfile 并撰写时，算法语音到文本停止工作，给我这个错误：
Traceback (most recent call last):
backend | File "/usr/local/lib/python3.9/site-packages/flask/app.py", line 2464, in __call__
backend | return self.wsgi_app(environ, start_response)
backend | File "/usr/local/lib/python3.9/site-packages/flask/app.py", line 2450, in wsgi_app
backend | response = self.handle_exception(e)
backend | File "/usr/local/lib/python3.9/site-packages/flask_cors/extension.py", line 165, in wrapped_function
backend | return cors_after_request(app.make_response(f(*args, **kwargs)))
backend | File "/usr/local/lib/python3.9/site-packages/flask/app.py", line 1867, in handle_exception
backend | reraise(exc_type, exc_value, tb)
backend | File "/usr/local/lib/python3.9/site-packages/flask/_compat.py", line 39, in reraise
backend | raise value
backend | File "/usr/local/lib/python3.9/site-packages/flask/app.py", line 2447, in wsgi_app
backend | response = self.full_dispatch_request()
backend | File "/usr/local/lib/python3.9/site-packages/flask/app.py", line 1952, in full_dispatch_request
backend | rv = self.handle_user_exception(e)
backend | File "/usr/local/lib/python3.9/site-packages/flask_cors/extension.py", line 165, in wrapped_function
backend | return cors_after_request(app.make_response(f(*args, **kwargs)))
backend | File "/usr/local/lib/python3.9/site-packages/flask/app.py", line 1821, in handle_user_exception
backend | reraise(exc_type, exc_value, tb)
backend | File "/usr/local/lib/python3.9/site-packages/flask/_compat.py", line 39, in reraise
backend | raise value
backend | File "/usr/local/lib/python3.9/site-packages/flask/app.py", line 1950, in full_dispatch_request
backend | rv = self.dispatch_request()
backend | File "/usr/local/lib/python3.9/site-packages/flask/app.py", line 1936, in dispatch_request
backend | return self.view_functions[rule.endpoint](**req.view_args)
backend | File "/app/app.py", line 123, in testRealize
backend | speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config)
backend | File "/usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/speech.py", line 802, in __init__
backend | self._impl = self._get_impl(impl.SpeechRecognizer, speech_config, audio_config, language, source_language_config, auto_detect_source_language_config)
backend | File "/usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/speech.py", line 864, in _get_impl
backend | return reco_type._from_config(speech_config._impl)
backend | RuntimeError: Exception with an error code: 0x38 (SPXERR_AUDIO_SYS_LIBRARY_NOT_FOUND)
backend | [CALL STACK BEGIN]
backend |
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x1fab3d) [0x7f4916de0b3d]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x1fe082) [0x7f4916de4082]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x1fa526) [0x7f4916de0526]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x1fa660) [0x7f4916de0660]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x1fa6c1) [0x7f4916de06c1]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x10fc59) [0x7f4916cf5c59]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x10fc59) [0x7f4916cf5c59]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x1d3f4e) [0x7f4916db9f4e]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x1e2d82) [0x7f4916dc8d82]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x1e1a08) [0x7f4916dc7a08]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x1e1cf9) [0x7f4916dc7cf9]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(+0x260ad7) [0x7f4916e46ad7]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/libMicrosoft.CognitiveServices.Speech.core.so(recognizer_create_speech_recognizer_from_config+0x109) [0x7f4916e482c2]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/_speech_py_impl.so(+0x10693a) [0x7f491771293a]
backend | /usr/local/lib/python3.9/site-packages/azure/cognitiveservices/speech/_speech_py_impl.so(+0x8837c) [0x7f491769437c]
backend | /usr/local/lib/libpython3.9.so.1.0(+0x176b70) [0x7f491a28db70]
backend | /usr/local/lib/libpython3.9.so.1.0(_PyObject_MakeTpCall+0x7d) [0x7f491a25ffbd]
backend | [CALL STACK END]
我使用算法的部分代码：
def testRealize():
begin = datetime.now()
speech_config = speechsdk.SpeechConfig(
subscription="ab************************", region="westeurope")
speech_config.speech_recognition_language = "pt-PT"
global speech_recognizer
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config)
global all_results
all_results = []
print("Speak into your microphone.")
# result = speech_recognizer.recognize_once_async().get()
speech_recognizer.session_started.connect(
lambda evt: print('SESSION STARTED: {}'.format(evt)))
speech_recognizer.session_stopped.connect(
lambda evt: print('\nSESSION STOPPED {}'.format(evt)))
speech_recognizer.recognized.connect(handle_final_result)
speech_recognizer.start_continuous_recognition()
# print(result.text)
# return jsonify({'begin' : begin , 'text' : result.text })
return jsonify({'begin': begin})
@app.route("/stop", methods=["GET", "POST"])
def stop():
end = datetime.now()
speech_recognizer.stop_continuous_recognition_async()
speech_recognizer.session_started.disconnect_all()
speech_recognizer.recognized.disconnect_all()
speech_recognizer.session_stopped.disconnect_all()
# print(all_results)
return jsonify({'end': end, 'text': all_results})
问题是，如果我不使用 docker，算法就会运行，但是当我使用时，会出现上面的这个错误。而且我不知道为什么我会遇到这个问题。我必须快速解决这个问题。你能帮我吗？
谢谢。