{"repo":"OmniSaleGmbH/lalalai","free":true,"listed":false,"github":"https://github.com/OmniSaleGmbH/lalalai","clone":"git clone https://github.com/OmniSaleGmbH/lalalai.git","description":"Official examples for LALAL.AI API: stem separation, voice cleaning, voice cloning, noise removal & audio processing","language":"Python","stars":190,"topics":["ai","api","audio-processing","python","sdk","stem-separation","vocal-remover","voice-cloning","voice-cleaner","noise-removal"],"license":null,"category":"api-integrations-sdks","readme_excerpt":"LALAL.AI Extract vocal, accompaniment and various instruments from any audio and video High-quality stem splitting based on the world's #1 AI-powered technology. API API V1 (Recommended) A stable, convenient API with a richer feature set, an OpenAPI specification, and a Swagger-like tool for browsing and trying endpoints. Python Examples: Python tools and scripts Documentation: Human-readable docs OpenAPI Specification API V0 (Deprecated) Code Examples: Legacy API examples and documentation available in api-v0(deprecated)/). Documentation: Human-readable docs About We are a team of specialists in the fields of artificial intelligence, machine learning, mathematical optimization, and digital signal processing. Our goal is to make working with audio and video easier for musicians, sound producers, music engineers, video bloggers, streamers, transcribers, translators, journalists, and many other professionals and creatives. In 2020, we developed a unique neural network called Rocknet using 20TB of training data to extract instrumentals and voice tracks from songs. In 2021, we created Cassiopeia, a next-generation solution superior to Rocknet that allowed improved splitting results with significantly fewer audio artifacts. Starting as a 2-stem splitter, LALAL.AI has grown significantly during 2021. In addition to vocal and instrumental , the service was enhanced with the capability to extract musical instruments – drums, bass, acoustic guitar, electric guitar, piano, and synthesi","default_branch":null,"files":null,"tree":[],"storefront":"/r/OmniSaleGmbH","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/OmniSaleGmbH/lalalai/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}