This sample code tests the accuracy of speech recognition (speech-to-text) for Burmese language using speech SDK from Azure Cognitive Services.
speech_to_text_api.ipynb is a Jupyter notebook for testing short sentences recognition using either a microphone or recorded audio file (8kHz wav).
conginuous_recog.py is designed for continuous speech-to-text conversion of long audio files. It includes event handlers for parsing and saving the output from Azure speech API.
Two environment variables SPEECH_KEY and SPEECH_REGION must be set prior to running the scripts [ref]:
Windows
setx SPEECH_KEY your-key
setx SPEECH_REGION your-region
Linux and macOS
export SPEECH_KEY=your-key
export SPEECH_REGION=your-region
Usage of the scripts is simple and should be self-explanatory.
https://azure.microsoft.com/en-us/pricing/details/cognitive-services/speech-services/
https://learn.microsoft.com/en-au/azure/cognitive-services/speech-service/speech-sdk
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