Google Cloud: AI Speech-to-Text with Python 3
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Google Cloud: AI Speech-to-Text with Python 3

Google Cloud: AI Speech-to-Text with Python 3

Google Cloud: AI Speech-to-Text with Python 3


I will show you how to incorporate Google’s powerful Speech-to-Text Artificial Intelligence models into a Python program.

Google Speech-to-Text enables you to convert audio to text by applying neural network models in an easy-to-use API. So, in this course, you will start by understanding the main use cases for Speech-to-Text (STT) and an overview of the API.
  • How do I use Google Text to Speech in Python?
  • How do I use Google cloud to speech to text?
  • How do you use text to speech in Python?
  • How do I test speech to text?
  • How to use google speech to text api in python?
  • How to convert speech to text in python offline?
  • Which is the best python library or platform for speech separation from an audio file for speaker diarization ?
You will then execute some demo code for the API to create a transcription for an audio file. Don’t worry, you’ll run through each line of code to make sure you’ve got it down.

In the following chapters, you will focus on recognition configuration, speech adaptation, and the different models used for speech recognition. Lastly, you will learn about word error rate and how to measure transcription accuracy.
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By the end of this course, you will be able to inject STT in your own Python projects and you will have a great new skill for your resume.

Google Cloud: AI Speech-to-Text with Python 3

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