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[QUOTE="Susan Crown, post: 867380, member: 19335"]

AI voice generators use deep learning techniques to synthesize human-like speech from text. Here’s a breakdown of how they work:


1. Text Processing (Text-to-Phoneme Conversion)

  • The input text is analyzed and converted into a phonetic representation.
  • Natural Language Processing (NLP) is used to understand sentence structure, punctuation, and prosody (rhythm and intonation).

2. Acoustic Model

  • A deep learning model (such as a neural network) predicts the audio features needed to generate realistic speech.
  • This includes aspects like pitch, tone, and cadence.

3. Speech Synthesis

  • There are two primary methods used:
    • Concatenative Synthesis: Uses pre-recorded speech segments and stitches them together.
    • Parametric Synthesis: Uses AI to generate speech waveform from scratch based on learned speech patterns.

4. Waveform Generation

  • Models like WaveNet (by Google DeepMind) or Tacotron generate high-quality, human-like voices.
  • These models create raw audio waveforms that sound natural and fluid.

5. Post-Processing & Fine-Tuning

  • Additional filters and optimizations improve clarity and reduce noise.
  • Some models allow customization, such as adjusting speed, pitch, or emotional tone.

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