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@@ -67,19 +67,4 @@ Analysis runs at 100 frames/s (16 kHz, hop 160).
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  - **Pitch** — 128 mel-spaced bins; bin 0 is unvoiced.
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  - **Loudness** — 64 A-weighted dB bins, about 1.05 bins per dB.
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  - **Duration** — per-phoneme frame counts, at most 191 frames (1.91 s) per
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- phoneme; an edited timeline is capped at 2001 frames (20 s).
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-
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- ## Training data
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-
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- English speech from Emilia, GigaSpeech, LibriTTS / LibriTTS-R, HiFi-TTS and
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- LibriLight, with forced-aligned ARPAbet phoneme annotations.
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-
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- ## Licence and intended use
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-
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- **CC BY-NC 4.0 — non-commercial.** The training mix includes Emilia, which is
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- distributed under CC BY-NC 4.0, so these weights inherit that restriction. The
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- source code is MIT.
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-
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- These models clone a speaker's voice from a few seconds of reference audio.
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- Only use recordings you have the right to use, disclose synthetic speech as
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- synthetic, and do not use this to impersonate anyone without their consent.
 
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  - **Pitch** — 128 mel-spaced bins; bin 0 is unvoiced.
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  - **Loudness** — 64 A-weighted dB bins, about 1.05 bins per dB.
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  - **Duration** — per-phoneme frame counts, at most 191 frames (1.91 s) per
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+ phoneme; an edited timeline is capped at 2001 frames (20 s).