Skip to main content

Audio ZEN is a library for audio/speech signal processing.

Project description

AudioZEN

Documentation

Prerequisites

# Install uv for speed up virtual environment creation and management
uv venv -p 3.12 venv/torch251_cu124_py312
source venv/torch251_cu124_py312/bin/activate

# Install the package
uv pip install -e .

# cd to the model directory
uv pip install -r /path/to/requirements.txt

Prerequisites

rsync -avPxH --no-g --chmod=Dg+ /home/xhao/proj/audiozen xhao@10.21.4.91:/home/xhao/proj/audiozen --exclude="*.git" --exclude="*.egg-info" --exclude="*.egg" --exclude="*.pyc" --exclude="*.log" --exclude="*.npy"

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

audiozen-2025.11.17.tar.gz (184.5 kB view details)

Uploaded Source

Built Distribution

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

audiozen-2025.11.17-py3-none-any.whl (222.7 kB view details)

Uploaded Python 3

File details

Details for the file audiozen-2025.11.17.tar.gz.

File metadata

  • Download URL: audiozen-2025.11.17.tar.gz
  • Upload date:
  • Size: 184.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for audiozen-2025.11.17.tar.gz
Algorithm Hash digest
SHA256 9c4b3903e3de99b0a7c66c5de5c19bd317b6b33b5773cfaab40d52fc083f957b
MD5 7f1a3e08e1e8d3fdb926c8971d97cf30
BLAKE2b-256 e3ae560b5a1a565f1c21e79a82e0b7802084d487a1916359422675063e97530e

See more details on using hashes here.

Provenance

The following attestation bundles were made for audiozen-2025.11.17.tar.gz:

Publisher: publish_to_pypi.yml on haoxiangsnr/audiozen

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file audiozen-2025.11.17-py3-none-any.whl.

File metadata

  • Download URL: audiozen-2025.11.17-py3-none-any.whl
  • Upload date:
  • Size: 222.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for audiozen-2025.11.17-py3-none-any.whl
Algorithm Hash digest
SHA256 dee82816a0b6088b1e437d9a28acaf3fc4caad2afabc933b5be825513839529c
MD5 0f48c5d239d8057459a1c1cbf693bb3a
BLAKE2b-256 56012a5ca167de2e7f34d57e110e538bc1608918006d8083ad307ac8cb5e68d8

See more details on using hashes here.

Provenance

The following attestation bundles were made for audiozen-2025.11.17-py3-none-any.whl:

Publisher: publish_to_pypi.yml on haoxiangsnr/audiozen

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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