AI · 1h ago
How Text-to-Speech Works: From Text to Neural Audio
Text-to-speech (TTS) converts written text into spoken audio through text normalization, phonetic transcription, prosody generation, and waveform synthesis. Modern TTS relies on deep learning models like Tacotron and WaveNet to produce natural-sounding speech. The technology is central to voice assistants, accessibility tools, and content creation.
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This explainer covers the basics but glosses over the computational cost and latency challenges of neural TTS in production.
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Demystifying Text-to-Speech (TTS): How Digital Voices Are Born →
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text-to-speechdeep-learning