Closed danuw closed 1 year ago
@danuw Thank you for the contribution! Looks like one of the tests is failing. Please:
Hi workflow is awaiting approval.
(FYI I tried to clean manually but ended up undoing some of my changes and using
jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace notebooks/generate-keyword-spotting-dataset-azure.ipynb
from https://saturncloud.io/blog/how-to-clear-jupyter-notebooks-output-in-all-cells-from-the-linux-terminal/#clearing-jupyter-notebooks-output-from-the-linux-terminal (provided to me by https://github.com/Willmish
Notebook was also renamed. )
Thank you @ShawnHymel (btw love you videos :) )
This is to add alternative to get audio samples for keyword spotting generated using Text-to-Speech Azure Cognitive Service.
It mirrors the same structure as the existing version for Google TTS.
FYI: The voices option default to available voices with different styles as combination of language, pitch gender returned many audio that seemed exactly the same.
Hope that helps some and maybe allows for event more sample data (combining Google and Azure TTS services)