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import torch
import torch.nn.functional as F
from torchaudio.transforms import Resample
from .constants import * # noqa: F403
from .model import E2E0
from .spec import MelSpectrogram
from .utils import to_local_average_cents, to_viterbi_cents
class RMVPE:
def __init__(self, model_path, device=None, dtype = torch.float32, hop_length=160):
self.resample_kernel = {}
if device is None:
self.device = 'cuda' if torch.cuda.is_available() else 'cpu'
else:
self.device = device
model = E2E0(4, 1, (2, 2))
ckpt = torch.load(model_path, map_location=torch.device(self.device))
model.load_state_dict(ckpt['model'])
model = model.to(dtype).to(self.device)
model.eval()
self.model = model
self.dtype = dtype
self.mel_extractor = MelSpectrogram(N_MELS, SAMPLE_RATE, WINDOW_LENGTH, hop_length, None, MEL_FMIN, MEL_FMAX) # noqa: F405
self.resample_kernel = {}
def mel2hidden(self, mel):
with torch.no_grad():
n_frames = mel.shape[-1]
mel = F.pad(mel, (0, 32 * ((n_frames - 1) // 32 + 1) - n_frames), mode='constant')
hidden = self.model(mel)
return hidden[:, :n_frames]
def decode(self, hidden, thred=0.03, use_viterbi=False):
if use_viterbi:
cents_pred = to_viterbi_cents(hidden, thred=thred)
else:
cents_pred = to_local_average_cents(hidden, thred=thred)
f0 = torch.Tensor([10 * (2 ** (cent_pred / 1200)) if cent_pred else 0 for cent_pred in cents_pred]).to(self.device)
return f0
def infer_from_audio(self, audio, sample_rate=16000, thred=0.05, use_viterbi=False):
audio = audio.unsqueeze(0).to(self.dtype).to(self.device)
if sample_rate == 16000:
audio_res = audio
else:
key_str = str(sample_rate)
if key_str not in self.resample_kernel:
self.resample_kernel[key_str] = Resample(sample_rate, 16000, lowpass_filter_width=128)
self.resample_kernel[key_str] = self.resample_kernel[key_str].to(self.dtype).to(self.device)
audio_res = self.resample_kernel[key_str](audio)
mel_extractor = self.mel_extractor.to(self.device)
mel = mel_extractor(audio_res, center=True).to(self.dtype)
hidden = self.mel2hidden(mel)
f0 = self.decode(hidden.squeeze(0), thred=thred, use_viterbi=use_viterbi)
return f0
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