HS TasNet
Project description
HS-TasNet (wip)
Implementation of HS-TasNet, "Real-time Low-latency Music Source Separation using Hybrid Spectrogram-TasNet", proposed by the research team at L-Acoustics
Install
$ pip install HS-TasNet
Usage
import torch
from hs_tasnet.hs_tasnet import HSTasNet
model = HSTasNet()
print(model.num_parameters) # 41694553 ~ 41M in paper
small_model = HSTasNet(small = True)
print(small_model.num_parameters) # 19666553 ~ 16M in paper
Sponsors
This open sourced work is sponsored by Sweet Spot
Citations
@misc{venkatesh2024realtimelowlatencymusicsource,
title = {Real-time Low-latency Music Source Separation using Hybrid Spectrogram-TasNet},
author = {Satvik Venkatesh and Arthur Benilov and Philip Coleman and Frederic Roskam},
year = {2024},
eprint = {2402.17701},
archivePrefix = {arXiv},
primaryClass = {eess.AS},
url = {https://arxiv.org/abs/2402.17701},
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hs_tasnet-0.1.5.tar.gz
(314.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
hs_tasnet-0.1.5-py3-none-any.whl
(11.4 kB
view details)
File details
Details for the file hs_tasnet-0.1.5.tar.gz.
File metadata
- Download URL: hs_tasnet-0.1.5.tar.gz
- Upload date:
- Size: 314.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c35bb70010da0f2496e623978673147665ad6aa69291ffd7aa44d9b3dcae0ebf
|
|
| MD5 |
04ad8808e188efb5cb338375aa36c761
|
|
| BLAKE2b-256 |
8c67245cb849c9d85ef184f04252042c25e0a8130ef0017872cbaf1483f5c3ea
|
File details
Details for the file hs_tasnet-0.1.5-py3-none-any.whl.
File metadata
- Download URL: hs_tasnet-0.1.5-py3-none-any.whl
- Upload date:
- Size: 11.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e392975f42ad59993e6c7de782e0c43731157e1891a255bf15697529626aa197
|
|
| MD5 |
ad4beb5fb7e18f0349d0c055e2067726
|
|
| BLAKE2b-256 |
14cf4ac3324da271c6bfb50a7e5869728a19a8669d47046926b121735035c0e0
|