Skip to main content

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) # 42979105 ~ 41M in paper

small_model = HSTasNet(small = True)

print(small_model.num_parameters) # 20951105 ~ 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-0.0.18.tar.gz (313.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hs_tasnet-0.0.18-py3-none-any.whl (10.3 kB view details)

Uploaded Python 3

File details

Details for the file hs_tasnet-0.0.18.tar.gz.

File metadata

  • Download URL: hs_tasnet-0.0.18.tar.gz
  • Upload date:
  • Size: 313.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for hs_tasnet-0.0.18.tar.gz
Algorithm Hash digest
SHA256 971842e35464b5840b3fa927d6fb649fec0b3fb4c9318992ecd19c8626763426
MD5 ba2be83fd38e18be5adb418f388cad5a
BLAKE2b-256 cf6f381e808375a7cafa880d4cbc2590fa2951cf05708649d05b21f6c8195356

See more details on using hashes here.

File details

Details for the file hs_tasnet-0.0.18-py3-none-any.whl.

File metadata

  • Download URL: hs_tasnet-0.0.18-py3-none-any.whl
  • Upload date:
  • Size: 10.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for hs_tasnet-0.0.18-py3-none-any.whl
Algorithm Hash digest
SHA256 a50a8d5fb7280ef16db3c053c70e6c47f78b2c06a5d9eb3a12172dee21c1cb4e
MD5 7fbbe64e2b391019d1dbc7df9497edd8
BLAKE2b-256 da5a1878c4bb530e9ad7d1b829c851de2b5da31fbeb79a9ee280e9c7c375c849

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page