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) # 40325881 ~ 41M in paper

small_model = HSTasNet(small = True)

print(small_model.num_parameters) # 18297881 ~ 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-0.0.16.tar.gz (313.3 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-0.0.16-py3-none-any.whl (10.1 kB view details)

Uploaded Python 3

File details

Details for the file hs_tasnet-0.0.16.tar.gz.

File metadata

  • Download URL: hs_tasnet-0.0.16.tar.gz
  • Upload date:
  • Size: 313.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for hs_tasnet-0.0.16.tar.gz
Algorithm Hash digest
SHA256 314d0e2c3c3fc2930acd4ad6163353edd9d87a8bb2267a32988a81b9a1478283
MD5 e6d4a49e4e99a4207a54d838e654f772
BLAKE2b-256 2672ee09dfec621b0f539aa35c1e1d7670c0ad6f0f77c9b65711df09322b224e

See more details on using hashes here.

File details

Details for the file hs_tasnet-0.0.16-py3-none-any.whl.

File metadata

  • Download URL: hs_tasnet-0.0.16-py3-none-any.whl
  • Upload date:
  • Size: 10.1 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-0.0.16-py3-none-any.whl
Algorithm Hash digest
SHA256 9ffe10b89444c1205e4525f3f670ad5393161a5a25cd10d2165cb8bbeb820603
MD5 7cb8aa0b75a0551534c7f239bc49d616
BLAKE2b-256 5e4aec9e007dbca67f1e9b2ee772c2259f3386257bb354d795e7d38823d44e0d

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