2 repositorios
Adapts pre-trained audio foundation models to custom tasks or domains using lightweight training code.
Distinct from Model Fine-Tuning: Distinct from Model Fine-Tuning: specifically targets audio foundation models with LoRA-style adaptation, not general model fine-tuning.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Audio. Refine with filters or upvote what's useful.
Kimi-Audio is a large language model audio foundation model designed to understand audio input and generate high-fidelity speech responses in real time. It functions as a unified system encompassing a text-to-speech synthesis engine and a speech-to-text transcription tool. The project enables real-time audio conversations through a multi-modal conversation loop and chunk-wise streaming detokenization to reduce playback latency. It provides controls over speech speed, accent, and emotional tone during conversational audio generation. The system covers audio intelligence capabilities, includin
Adapts the pre-trained audio foundation model to custom tasks or domains using lightweight fine-tuning scripts.
ACE-Step is a high-fidelity audio synthesis system and diffusion model designed to generate music and vocals from text descriptions. It functions as a music generator and vocal synthesizer, using a diffusion transformer decoder to produce audio across various languages and genres. The project provides tools for text-guided audio editing, including the ability to extend the duration of tracks, regenerate specific song segments, and perform latent-space audio inpainting to modify lyrics or styles. It also includes a framework for audio style fine-tuning using low-rank adaptation to adapt vocal
Adapts pre-trained audio foundation models to custom vocal and musical styles using LoRA.