OpenAI Transcription API
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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.
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.
Author Name: David Clinton
Author Description:
David Clinton is an AWS Solutions Architect and a Linux server administrator. He’s written books on cloud and Linux administration, IT security, and data analytics.
Table of Contents
- Course Overview
1min - Understanding the OpenAI Whisper Service
8mins - Using the Whisper API to Transcribe and Translate Speech
13mins
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