Reverse Dependencies of julius

The following projects have a declared dependency on julius:

• asteroid — PyTorch-based audio source separation toolkit
• audio-separator — Easy to use audio stem separation, using various models from UVR trained primarily by @Anjok07
• audio-separator-ui — Easy to use audio stem separation with a UI, using various models from UVR trained primarily by @Anjok07
• AudioAugmentor — Python package for simple application of wide range of audio augmentations.
• audioseal — Watermarking and detection for speech audios
• biodenoising — Animal vocalization denoising
• demonstrable-whisperx-service — A standalone service for transcribing audio files using WhisperX
• demucs3 — Music source separation in the waveform domain.
• denoiser-compat — Speech enhancement in the waveform domain. Supports offline and streaming evaluation. Implementation for https://arxiv.org/abs/2006.12847. For training, please directly clone the github repository.
• descript-audiotools — Utilities for handling audio.
• ezdsp — Easy digital signal processing
• mira-sim — MiRA tool is a model-independent open evaluation method based on four diverse audio music similarity metrics to assess exact data replication of the training set.
• mngs — For lazy python users (monogusa people in Japanse), especially in ML/DSP fields
• pafst — Library That Preprocessing Audio For TTS/STT.
• pafts — Library That Preprocessing Audio For TTS.
• PolUVR — Easy to use audio stem separation with a UI, using various models from UVR trained primarily by @Anjok07
• testgailbot002 — GailBot API
• testgailbotapi — GailBot Test API
• testgailbotapi001 — GailBot Test API
• torch-audiomentations — A Pytorch library for audio data augmentation. Inspired by audiomentations. Useful for deep learning.
• torchaudio-augmentations — Audio augmentations library for PyTorch, for audio in the time-domain.
• torchopenl3 — Deep audio and image embeddings, based on Look, Listen, and Learn approach Pytorch