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elphi-si
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elphi

Text-to-Speech
Core ML
Turkish
tts
turkish
on-device
ema-lightning
Model card Files
xet
 Community
elphi
File size: 1,443 Bytes
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{
 "constants": {
  "clause_pause": 0.12,
  "context": 8,
  "first_window": 25,
  "fps": 25,
  "hop": 1920,
  "latent_dim": 64,
  "letters_per_second": 18.0,
  "lookahead": 1,
  "lookback": 1,
  "max_frames": 3000,
  "max_letters": 250,
  "max_seconds": 10.0,
  "max_word_frames": 250,
  "sample_rate": 48000,
  "sentence_pause": 0.25,
  "steps": 4,
  "window": 100
 },
 "format": 1,
 "models": {
  "decoder": "EMADecoder",
  "sound": "EMASound",
  "text": "EMAText"
 },
 "pins": {
  "decoder.pt.sha256": "9595819b173f411340f63d11332695121a97f8bf1f6d8b6fef0b21cf99c7ad67",
  "ema.pt.sha256": "95aec03dafbe0e1d69bca774ab597c779464729a14bc99bfcb52480090c7dfe6",
  "ema_source": "canberk7/ema-lightning@12797c5f4dbcced8e4b3392b12bba2fe8b9f5ec6 (v1.0.4)",
  "normalizer": "erdemtuna/normalizer-tr@d0bc1bc6523faa4f6257642190bb723b7f4274a5 (0.4.0)",
  "precision": "float32",
  "tooling": "torch 2.7.0, coremltools 9.0, numpy 2.5.3, python 3.13.5",
  "weights": "canberkkkkkk/ema-lightning@7a6ba1ad216bb2f1da9863f80ac8770a6a807632"
 },
 "sample_rate": 48000,
 "version": "1",
 "vocab": [
  "<pad>",
  "<unk>",
  " ",
  "!",
  "\"",
  "%",
  "&",
  "'",
  "(",
  ")",
  ",",
  "-",
  ".",
  "/",
  ":",
  ";",
  "?",
  "a",
  "b",
  "c",
  "d",
  "e",
  "f",
  "g",
  "h",
  "i",
  "j",
  "k",
  "l",
  "m",
  "n",
  "o",
  "p",
  "q",
  "r",
  "s",
  "t",
  "u",
  "v",
  "w",
  "x",
  "y",
  "z",
  "ç",
  "ö",
  "ü",
  "ğ",
  "ı",
  "ş"
 ]
}