#Music Generation

Muzic, developed by researchers at Microsoft Research Asia, explores AI in music understanding and generation via deep learning. It includes innovations like MusicBERT for symbolic music, PDAugment for lyrics transcription, and CLaMP for pre-training. Music creation technologies such as SongMASS and PopMAG are included for songwriting and accompaniment, respectively. MuseCoco and HiFiSinger are featured for text-to-music translation and singing synthesis, with MusicAgent using large language models for enhanced music processing.

This resource provides daily updates on audio-related papers, projects, and tools from leading platforms such as arxiv and GitHub. It covers various topics, including ASR and music generation, offering valuable insights into current trends and innovations in audio technology.

MotionAgent is a deep learning application that converts user-generated scripts into videos, utilizing the open-source ModelScope model community. It features script creation with large language models like Qwen-7B-Chat, high-resolution video production from images, and personalized background music. Compatible with Python 3.8, torch 2.0.1, and CUDA 11.7 on Ubuntu 20.04, it requires 36GB GPU memory.

Explore a detailed compilation of recent advancements in AI models for audio generation. This repository highlights innovative projects like Mustango and Music ControlNet, providing resources including sample releases, research papers, and code links. A valuable tool for researchers and developers keen on cutting-edge audio technology and AI integration in sound production.