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GitHub / crlandsc / torch-log-wmse-audio-quality
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/crlandsc%2Ftorch-log-wmse-audio-quality
Stars: 4
Forks: 0
Open Issues: 0
License: apache-2.0
Language: Python
Repo Size: 257 KB
Dependencies:
11
Created: 2 months ago
Updated: 17 days ago
Last pushed: 17 days ago
Last synced: 17 days ago
Topics: ai, audio, audio-denoising, audio-quality, audio-quality-assessment, audio-separation, audio-source-separation, bss, deep-learning, loss-functions, machine-learning, mss, music, music-source-separation, python, sound-processing, sound-separation, sound-source-separation, speech-denoising, torch
Files
Dependencies
- actions/checkout v4 composite
- actions/setup-python v5 composite
- actions/upload-artifact v3 composite
- pypa/gh-action-pypi-publish release/v1 composite
- numpy >=1.23.5
- torch >=1.8.0
- torchaudio >=1.8.0
- matplotlib ==3.7.5 development
- numpy >=1.23.5 development
- torch >=1.8.0 development
- torchaudio >=1.8.0 development