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OpenAI Transcription API

OpenAI's Whisper model offers speech-to-text and translation that can be used to convert audio business communications to digitized text. This course will teach you how to use Whisper to solve your speech archiving and content analysis problems.

David Clinton - Pluralsight course - OpenAI Transcription API
by David Clinton

What you'll learn

Audio archives take up a lot of archive space and can be difficult to catalog and understand. In this course, OpenAI Transcription API, you’ll learn to use OpenAI's remarkably accurate Whisper service to convert your speech content to more easily manageable text formats. First, you’ll explore Whisper's available models and endpoints. Next, you’ll discover the code you'll need to invoke a model through the API. Finally, you’ll learn how to fine-tune your transcriptions and translations to provide the perfect balance of functionality and operational cost. When you’re finished with this course, you’ll have the skills and knowledge of Whisper needed to manage your audio resources.

Table of contents

About the author

David Clinton - Pluralsight course - OpenAI Transcription API
David Clinton

David taught high school for twenty years, worked as a Linux system administrator for five years, and has been writing since he could hold a crayon between his fingers. His childhood bedroom wall has since been repainted.

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