This implementation is for learning purposes. The class speech.py could be used to obtain the transcription from an audio file. This code was adapted from How to use the Speech Services Batch Transcription API from Python.
Could be used in scenarios like call center sentiment analysis, fraud detection, and much more.
Use your creativity to expand the use to have fun to fix a lot of real world problems and feel free to clone this repo and adapt this code for your requirements :)
pipenv shell
Use the bellow code to adjust the max line length limit flake8 --max-line-length=140
If you use VSCode you can add this config to settings.json adding the code:
"python.linting.flake8Args": [
"--max-line-length=140",
]
sudo apt-get update
sudo apt-get install libssl1.0.0 libasound2
You also need to follow the requirement from How to use the Speech Services Batch Transcription API from Python to be able to use the API.
export SPEECH_KEY=<KEY_1>
export REGION=<REGION>
Run run.py and change the variable BLOB_URI_INPUT with the URL SAS generated in your Storage Account
name: Just a name for the transcript execution
description: Just a description
locale: Is the code of the language that the API need to use during the transcription process. To get the language's code go to this url
properties: Is a dict with the configurations options
output_file: Is the filename with json content
To clean up resources you can delete the Resource Group or the API using Azure Portal.