AudioShake vs Open-Unmix

AudioShake separates and processes audio for creators and developers. Studio can split music into vocal and instrument stems or divide finished mixes into dialogue, music and effects. Multi-Speaker separates overlapping voices into labelled tracks, while Speech Recovery denoises and de-reverbs recordings to improve speech intelligibility. The browser-based Lyric Editor transcribes lyrics, aligns words with recordings and supports editing and realignment. Studio accepts WAV, AIFF, FLAC, MP3, AAC, M4A, MP4 and MOV files up to 2 GB. Developers can use REST API processing for batch or streaming workflows, with webhooks; a Local Inference SDK is offered for iOS, macOS, Android, Windows and Linux. Private inference can run in a customer's cloud or fully offline. The free plan starts with 200 credits, MP3 export and files up to 10 minutes. Starter costs $20 a month and Pro costs $40 a month; Enterprise pricing is custom. AudioShake focuses on lyric transcription, not general speech transcription.

Open-Unmix is a PyTorch reference implementation for music source separation, aimed at researchers, audio engineers, and artists. Its ready-to-use models split pop music into vocals, drums, bass, and other instruments; a separate model, umxse, is for speech enhancement and was trained on the 28-speaker Voicebank+DEMAND corpus. Pre-trained choices include umxl, umxhq, umx, and umxse, with spectrogram variants also available. Each source model uses a three-layer bidirectional LSTM, a design the project says cannot run online or in real time. The code supports reproducing results, developing architectures, and adding data, while training is documented separately from the package. Install through pip or use the Docker container; pre-trained models can be loaded in Python or through torch.hub, and a Colab notebook supports online experimentation without local setup. The command line handles WAV, FLAC, and OGG, not MP3; stempeg can extend formats, including STEMS export. The software is MIT-licensed; umxl weights are non-commercial under CC BY-NC-SA 4.0.