Getting Started with Google Cloud Speech-To-Text API in Python
In this tutorial, I will be covering how to get started with Google Cloud Speech-To-Text API in Python.
Speech-To-Text is one of the Google Cloud Service products. Using the Speech-To-Text API, we will be able to transcribe media files (audio to text converter) such as MP3, MP4, Wav files or transcribing when we are streaming a podcast (voice to text feature). And since I am trying to keep to the tutorial short, I will only cover the things I think are the most important.
PS: Forgot to mention one really important factor in the video that affects the pricing. Each audio channel is billed separately. If you send requests with multiple channels, you will be billed according to the sum total length of audio processed from all channels. For example, a wav file is a 2 channel audio sound file, therefore, each channel is charged separately.
📑 How to create a Cloud Service Account & Download Client JSON file: • How to create a Google Cloud Service Accou...
📑 Source Code: https://learndataanalysis.org/source-...
Timestamps:
00:00 - Google Cloud Speech-To-Text Introduction
00:50 - Speech-To-Text Pricing
02:49 - Speech-To-Text Quotas and Limits
03:30 - Enable Cloud Services in Google Cloud Console
05:28 - Install Google Cloud Speech-To-Text Python Library
06:03 - Speech-To-Text API example 1 & 2 (transcribing local media files)
20:13 - Speech-To-Text API example 3 (transcribing long media files)
Useful Links:
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🔗 Speech-To-Text API Pricing: https://cloud.google.com/speech-to-te...
🔗 Speech-To-Text API Quotas and Limits: https://cloud.google.com/speech-to-te...
🔗 RecognitionConfig Resource: https://cloud.google.com/speech-to-te...
🔗 RecognitionAudio Resource: https://cloud.google.com/speech-to-te...
🔗 Google Cloud Console: https://console.cloud.google.com/
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