Yet another crepe (pitch tracking tool) in PyTorch.
Project description
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 torchcrepeV2
from torchcrepeV2 import TorchCrepePredictor
import librosa
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(audio=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
- Add unit tests
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
torchcrepeV2-0.2.0.tar.gz
(70.8 MB
view details)
Built Distribution
File details
Details for the file torchcrepeV2-0.2.0.tar.gz
.
File metadata
- Download URL: torchcrepeV2-0.2.0.tar.gz
- Upload date:
- Size: 70.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | de03074f7ac7b0cf0b506f1900e5f323578d2aad97f23b726fd39d4a7bc40e7b |
|
MD5 | 60653f8b72991bb3132a4afe52c07b9a |
|
BLAKE2b-256 | d1109a790948d30381de45466851677d2505c4192e8b7313de045e293b38e43f |
File details
Details for the file torchcrepeV2-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: torchcrepeV2-0.2.0-py3-none-any.whl
- Upload date:
- Size: 70.8 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6f23b5133833394cfbfc5c0140809e8ebd7b068e08063bd56f004838feec4572 |
|
MD5 | 1bf6436b1329ad508f8472db91e22a03 |
|
BLAKE2b-256 | 28cbe68148aafab2b9acef695562c44b08781d9102f173696e06972aeadcdc4b |