[48/100] #100DaysOfCloud Today, I checked out and experimented with Amazon Polly and learned more about its use cases.
Amazon Polly uses deep learning technologies to synthesize natural-sounding human speech, so you can convert articles to speech. With dozens of lifelike voices across a broad set of languages, use Amazon Polly to build speech-activated applications.
- Customize and control speech output that supports lexicons and Speech Synthesis Markup Language (SSML) tags.
- Store and redistribute speech in standard formats like MP3 and OGG.
- Quickly deliver lifelike voices and conversational user experiences in consistently fast response times.
Use cases:
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Generate speech in dozens of languages
- Add speech to applications with a global audience, such as RSS feeds, websites, or videos.
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Engage customers with a natural-sounding voice
- Store and replay Amazon Polly speech output to prompt callers through interactive or automated voice response systems.
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Adjust speaking style, speech rate, pitch, and loudness
- Use SSML, a W3C standard XML-based markup language for speech synthesis applications, to support common SSML tags for phrasing, emphasis, and intonation.
You can try do it by yourself by following the steps from the link below: GitHub
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