torchcrepeV2 0.1.1

Crepe pitch detection in PyTorch

TorchCrepeV2

My own version of crepe in PyTorch, SOTA pitch tracking tool. Releasing as pip package for ease of usage.

Only full version of model is supported.

Similar project: https://github.com/maxrmorrison/torchcrepe

Usage

pip install git+https://github.com/gudgud96/torchcrepeV2

from torchcrepeV2 import TorchCrepePredictor
import numpy as np
import matplotlib.pyplot as plt

y, sr = librosa.load("some_audio.wav", sr=16000)
torch_crepe = TorchCrepePredictor(device="cuda")

# all arguments are aligned with original crepe implementation
f = torch_crepe.predict(y=y, 
                        sr=sr,
                        viterbi=True, 
                        center=True, 
                        step_size=10)

# can add some post-processing
block_size = 100
length = y.shape[0] // 100
if f.shape[-1] != length:
    f = np.interp(
        np.linspace(0, 1, length, endpoint=False),
        np.linspace(0, 1, f.shape[-1], endpoint=False),
        f,
    )

plt.plot(f, label='torchcrepe')
plt.show()

Results

Tracked pitch nearly identical as compared to crepe.

TODO

• Optimize inference performance