{"library":"auraloss","type":"library","category":null,"description":"Auraloss is a collection of audio-focused loss functions implemented in PyTorch, designed for tasks like audio synthesis, source separation, and speech enhancement. It provides specialized losses such as Mel-spectrogram, multi-resolution STFT, and perceptual losses. The current stable version is 0.4.0, and new features and improvements are added periodically, with releases typically following significant development milestones.","language":"python","status":"active","version":"0.4.0","tags":["audio","loss-functions","pytorch","deep-learning","signal-processing","speech-enhancement","audio-synthesis"],"last_verified":"Tue May 26","install":[{"cmd":"pip install auraloss","imports":["from auraloss.freq import MultiResolutionSTFTLoss","from auraloss.freq import MelSpectrogramLoss","from auraloss.perceptual import PerceptualLoss","from auraloss.freq import SpectralConvergenceLoss"]},{"cmd":"pip install git+https://github.com/csteinmetz1/auraloss.git","imports":[]}],"homepage":null,"github":"https://github.com/csteinmetz1/auraloss","docs":null,"changelog":null,"pypi":"https://pypi.org/project/auraloss/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":67.2,"avg_import_s":6.01,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/auraloss/compatibility"}}