Start container
docker run --rm -it -p 5003:5003 --memory 1g --cpus 1 mcr.microsoft.com/azure-cognitive-services/speechservices/language-detection Eula=accept Billing=https://xxxx.cognitiveservices.azure.com ApiKey=xxxx
Start container
docker run --rm -it -p 5003:5003 --memory 1g --cpus 1 mcr.microsoft.com/azure-cognitive-services/speechservices/language-detection Eula=accept Billing=https://xxxx.cognitiveservices.azure.com ApiKey=xxxx
| import time | |
| import json | |
| import azure.cognitiveservices.speech as speechsdk | |
| auto_detect_source_language_config = \ | |
| speechsdk.languageconfig.AutoDetectSourceLanguageConfig(languages=["ar-SA", "en-US"]) | |
| speech_config = speechsdk.SpeechConfig(host="http://localhost:5003") | |
| # Creates an AudioConfig from a given WAV file | |
| audio_config = speechsdk.audio.AudioConfig(filename="enar.wav") | |
| # Creates a source language recognizer using a file as audio input, also specify the speech language | |
| source_language_recognizer = speechsdk.SourceLanguageRecognizer( | |
| speech_config=speech_config, | |
| auto_detect_source_language_config=auto_detect_source_language_config, | |
| audio_config=audio_config) | |
| result = source_language_recognizer.recognize_once() | |
| # Check the result | |
| if result.reason == speechsdk.ResultReason.RecognizedSpeech: | |
| detected_src_lang = result.properties[ | |
| speechsdk.PropertyId.SpeechServiceConnection_AutoDetectSourceLanguageResult] | |
| print("Detected Language: {}".format(detected_src_lang)) | |
| 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 Language Detection canceled: {}".format(cancellation_details.reason)) | |
| if cancellation_details.reason == speechsdk.CancellationReason.Error: | |
| print("Error details: {}".format(cancellation_details.error_details)) |