Reverse Dependencies of torchlibrosa

The following projects have a declared dependency on torchlibrosa:

• audioldm — This package is written for text-to-audio generation.
• audioldm-eval — This package is written for the evaluation of audio generation model.
• audioldm2 — This package is written for text-to-audio/music generation.
• audiosr — This package is written for text-to-audio/music generation.
• autrainer — A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks.
• bytesep — Music source separation
• bytesep-fancybit — Music source separation fancybit 2024
• cstx — Description of the cstx package
• epanns-inference — epanns_inference: EPANNs audio tagging inference api
• fad-pytorch — Frechet Audio Distance evaluation in PyTorch
• frechet-audio-distance — A lightweight library of Frechet Audio Distance calculation.
• laion-clap — Contrastive Language-Audio Pretraining Model from LAION
• malaya-speech — Speech-Toolkit for bahasa Malaysia, powered by Tensorflow and PyTorch.
• msclap — CLAP (Contrastive Language-Audio Pretraining) is a model that learns acoustic concepts from natural language supervision and enables “Zero-Shot” inference. The model has been extensively evaluated in 26 audio downstream tasks achieving SoTA in several of them including classification, retrieval, and captioning.
• panns-AT-inference — panns_AT_inference: audio tagging inference toolbox
• panns-hear — PANNs embeddings for HEAR 2021 Challenge.
• panns-inference — panns_inference: audio tagging and sound event detection inference toolbox
• piano-transcription-inference — Piano transcription inference toolbox
• ssr-eval — This package is written for the evaluation of speech super-resolution algorithms.
• streaming-infer — streaming_infer
• torchsubband — This package is written for subband operations.
• versatile-audio-upscaler — Versatile AI-driven audio upscaler to enhance the quality of any audio.
• versatile-audio-upscaler-fixed — Versatile AI-driven audio upscaler to enhance the quality of any audio -- Now supporting Numpy +1.26
• voicefixer — This package is written for the restoration of degraded speech