Now for the final piece: π Making it speak.
That's TTS - Text-to-Speech.
TTS
The Transformation:
Input: "Great news! Your flight to Paris is confirmed."
Output: γ°οΈγ°οΈγ°οΈ (audio waveform).
The TTS Pipeline:
1οΈβ£ Text Analysis
β’ "How to pronounce this?"
β’ Normalization (50γγ« β "fifty dollars")
β’ Grapheme-to-phoneme conversion
β’ Homograph resolution (read vs read)
2οΈβ£ Prosody Prediction
β’ How should it sound?
β’ Pitch contour (intonation)
β’ Duration (speed)
β’ Stress & emphasis
β’ Pauses
3οΈβ£ Acoustic Model
β’ Generate mel spectrogram.
β’ Tacotron 2, FastSpeech 2, VITS.
β’ Maps phonemes β audio features.
4οΈβ£ Vocoder
β’ Convert to audio waveform.
β’ HiFi-GAN, WaveGlow, WaveNet.
β’ Spectrogram β actual audio.
π― And that closes the loop:
Listen β Think β Speak
Thatβs the full Voice AI pipeline.
Thanks for following along - next, I'll likely recap the full system and share a few real-world failure modes that make or break Voice AI in production. More coming soon. Keep building!!
Cheers!!