In part 2 of the Google Cloud Text-to-Speech API tutorial series, we will be learning how to use Google Cloud Text-to-Speech API in Python.
Things we will be doing in this Google Cloud Text-To-Speech API in Python project.
1. Enable Text-to-Speech API service.
2. Create a Service Account.
3. Download Service Account client file (JSON file).
4. Create a Python virtual Environment for this project.
5. Install Text-To-Speech Python Client library.
6. Go over Google Cloud Text-To-Speech API documentation.
7. Create a Python program to convert texts to audio (MP4 file).
📑 How to create a Cloud Service Account & Download Client JSON file: • How to create a Google Cloud Service Accou...
📑 Also check out Getting Started with Google Cloud Speech-To-Text API in Python: • Getting Started with Google Cloud Speech-T...
📑 Source Code: https://learndataanalysis.org/source-...
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Timestamp:
00:00 - Intro
01:38 - Enable Google Cloud Text-to-Speech API
03:00 - Create a Service Account
05:21 - Create a Python Virtual Environment (VE)
07:44 - Install Google Cloud Text-to-Speech Python Client Library
08:25 - Go over Google Cloud Text-to-Speech Documentation
11:55 - Create Text-to-Speech Program in Python
Just want to emphasize again that for Standard (non-WaveNet) voices, you can convert up to 4 million characters for free per month (per billing cycle). For WaveNet voices, you can convert up to 1 million characters for free per month (per billing cycle).
What is Google Cloud Text-To-Speech?
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With Google Cloud Text-to-Speech Cloud API, we can convert text into natural-sounding speech using an API powered by Google’s AI technologies.
Improve customer interactions with intelligent, lifelike responses
Engage users with voice user interface in your devices and applications
Personalize your communication based on user preference of voice and language
Google Cloud Text-to-Speech AI product page
https://cloud.google.com/text-to-speech
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