Avadec_12hz

import librosa
import torchaudio
from IPython.display import Audio as Sawt


from audio_processing.kanadec_audio_tokenizer import load_avadec_audio_tokenizer, encode_batch
import torch


dac_model = load_avadec_audio_tokenizer("Respair/Avadec_12hz", device='cuda')


device = 'cuda'
wav, sr = librosa.load("path_to/audio.mp3", sr=24000)
tensor = torch.from_numpy(wav).unsqueeze(0).to(device)

with torch.no_grad():
    encoded = encode_batch(dac_model, tensor, orig_sr=24000, return_quantized=False)
    recon = dac_model.decode(encoded.audio_codes.to(device))
    
Sawt(recon.squeeze(), rate=44100)