Measuring and improving Speech-to-Text accuracy

Опубликовано 15 сентября 2020, 17:04

Google Cloud’s Speech-to-Text API provides incredible accuracy out of the box. What you might not know is that it also has new tools for enhancing accuracy and customizing the model for your industry, domain, or use case.

Come learn how we measure accuracy at Google and how you can use our tools to customize your model and improve accuracy. We will walk through the basic concepts and introduce a lab that you can complete later on your time.

Speaker: Calum Barnes

Watch more:
Google Cloud Next ’20: OnAir → goo.gle/next2020

Subscribe to the GCP Channel → goo.gle/GCP

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event: Google Cloud Next 2020; re_ty: Publish; product: Cloud - AI and Machine Learning - Speech-to-Text; fullname: Calum Barnes;