Google Cloud Text-to-Speech AI API in Python - Getting Started (Part 1)
In part 1 of the Google Cloud Text-to-Speech API tutorial series, I will be going over some of the important information before you start using Google Text-to-Speech API in Python. Some of the things I will be going over: a product demo, pricing, quota limit.
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Timestamp:
00:00 - Intro
04:56 - Google Text-to-Speech Key Features
05:50 - Pricing
07:04 - Quota Request Limit
📑 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...
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.
Google Cloud Text-to-Speech API allows developers to include natural-sounding, synthetic human speech as playable audio in their applications. The Text-to-Speech API converts text or Speech Synthesis Markup Language (SSML) input into audio data like MP3 or LINEAR16 (the encoding used in WAV files).
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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Tags:
#TextToSpeech #GoogleCloud #GCP #Python
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