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just don't use DAC 24Khz, it's bad

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mrq 2024-05-12 13:41:17 -05:00
parent 230da8b559
commit 5eb5db7f7f
1 changed files with 1 additions and 8 deletions
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vall_e/emb/qnt.py
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@ -143,13 +143,11 @@ def _load_vocos_model(device="cuda", levels=cfg.model.max_levels):
@cache
def _load_dac_model(device="cuda", levels=cfg.model.max_levels):
kwargs = dict(model_type="24khz",model_bitrate="8kbps",tag="latest")
kwargs = dict(model_type="44khz",model_bitrate="8kbps",tag="latest")
if not cfg.variable_sample_rate:
# yes there's a better way, something like f'{cfg.sample.rate//1000}hz'
if cfg.sample_rate == 44_000:
kwargs["model_type"] = "44khz"
elif cfg.sample_rate == 24_000:
kwargs["model_type"] = "24khz"
elif cfg.sample_rate == 16_000:
kwargs["model_type"] = "16khz"
else:
@ -279,11 +277,6 @@ def encode(wav: Tensor, sr: int = cfg.sample_rate, device="cuda", levels=cfg.mod
with torch.autocast("cuda", dtype=cfg.inference.dtype, enabled=cfg.inference.amp):
artifact = model.compress(signal, win_duration=None, verbose=False, n_quantizers=levels)
# trim to 8 codebooks if 24Khz
# probably redundant with levels, should rewrite logic eventuall
if model.model_type == "24khz":
artifact.codes = artifact.codes[:, :8, :]
return artifact.codes if not return_metadata else artifact
# vocos does not encode wavs to encodecs, so just use normal encodec