How Text Becomes Speech: The Three Stages Behind Every TTS System
Every TTS pipeline separates three stages. Text analysis decides pronunciation, pauses and stress, outputting linguistic features, not sound; acoustic modeling maps them to spectrograms setting timbre and prosody, where voice cloning swaps in speaker features; waveform generation turns features into playable audio via neural vocoders. Builders get a frame for the core trade-off: live conversation compresses latency and gives up some quality, while audiobooks compute offline and prioritize quality. The same three stages show where a cloned voice enters the pipeline.
At a glance
- 1TTS splits into text analysis, acoustic modeling, waveform generation
- 2Prosody prediction decides whether it sounds natural
- 3Latency and quality must be traded off
Step 1: Text analysis
The system first decides pronunciation, pauses and stress. The output is linguistic features, not sound.
Step 2: Acoustic modeling
Linguistic features map to acoustic features such as spectrograms, setting timbre and prosody. Voice cloning essentially swaps speaker features here.
Step 3: Waveform generation
Acoustic features become playable audio. Neural vocoders raised quality sharply, at a compute cost.
The trade-off
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