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SNAC 24 kHz decoder (ONNX)
The decoder of SNAC 24 kHz (revision d73ad176a12188fcf4f360ba3bf2c2fbbe8f58ec, MIT licence, by Hubert
Siuzdak), exported to ONNX for torch-free decoding of the audio codes that Orpheus-style text-to-speech models
(Orpheus, Veena, Svara, snorTTS) generate. Exported with tools/export_snac_onnx.py from the bolo speech server.
| file | precision | size |
|---|---|---|
snac_24khz_decoder.onnx |
fp32 | 52.6 MB |
snac_24khz_decoder_fp16.onnx |
fp16 | 26.4 MB |
Inputs: codes_0 [B, T], codes_1 [B, 2T], codes_2 [B, 4T] (int64, 0..4095). Output: audio
[B, 1, 2048·T], float32 at 24 kHz. The noise blocks of the decoder are kept (random, as in PyTorch).
Checked against PyTorch SNAC with the noise term disabled on both sides: see snac_onnx.json. Use fp32 or fp16;
int8 quantisation of this decoder is known to fail (audible noise), so none is provided.
Licence: MIT, as the original SNAC weights (Copyright (c) 2024 Hubert Siuzdak).