Nikolay Karpov - How to Prepare a Speech Dataset & Minimize the Amount of Boilerplate Code Required?

Nikolay Karpov, a Senior Research Scientist at NVIDIA NeMo, provides a talk on “How to prepare a speech dataset and minimize the amount of boilerplate code required?”

Processing a lot of data for training neural models requires more effort than neural network engineering and training. Nvidia NeMo team has made a Speech Data Processor tool to simplify the process: https://lnkd.in/eHE-KjNC

During the talk, you will explore the steps for speech dataset preparation, including:

-Video-to-audio conversion,
-Metadata parsing,
-Audio and text language identification,
-Speech recognition,
-Text normalization,
-Filtration by metrics and regular expression.
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