Architecture
Text-to-Speech (TTS)
Software that converts written text into synthetic spoken audio.
In depth
Software that converts written text into synthetic spoken audio. Neural TTS systems usually predict an intermediate acoustic representation such as a mel spectrogram from the text, then use a vocoder to turn it into a waveform. Google's Tacotron 2 established this two-stage design and reached quality ratings close to recorded human speech. TTS is the output stage of voice agents and is offered by most AI providers as an API.
Primary source: arxiv.org
Example
Neural TTS systems usually predict an intermediate acoustic representation such as a mel spectrogram from the text, then use a vocoder to turn it into a waveform.
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FAQ
Common questions
What is Text-to-Speech (TTS)?
Software that converts written text into synthetic spoken audio.
Why does Text-to-Speech (TTS) matter for AI developers?
Text-to-Speech (TTS) sits in the Architecture part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Text-to-Speech (TTS)?
Developers Digest publishes tutorials and videos that cover Architecture topics including Text-to-Speech (TTS). Check the blog and YouTube channel for hands-on walkthroughs.
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