Popular GitHub Repositories for Song

YuE: Open Full-song Music Generation Foundation Model, something similar to Suno.ai but open

A WebUI to create song covers with any RVC v2 trained AI voice from YouTube videos or audio files.

InspireMusic: A Unified Framework for Music, Song, Audio Generation.

Finding the genre of a song with Deep Learning

All in One Version : Youtube WAV Download, Separating Vocal, Splitting Audio, Training, and Inference Using Google Colab

Rap song writing recurrent neural network trained on Kanye West's entire discography

Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

Speech to Text to Speech. Song now playing. Sends text as OSC messages to VRChat to display on avatar. (STTTS) (Speech to TTS) (VRC STT System) (VTuber TTS)

Understanding emotions from audio files using neural networks and multiple datasets.

This is the dataset repository for the paper: POP909: A Pop-song Dataset for Music Arrangement Generation

All in One Version : Youtube WAV Download, Separating Vocal, Splitting Audio, Training, and Inference Using Google Colab

M.I.L.E.S, a GPT-4-Turbo voice assistant, self-adapts its prompts and AI model, can play any Spotify song, adjusts system and Spotify volume, performs calculations, browses the web and internet, searches global weather, delivers date and time, autonomously chooses and retains long-term memories. Available for macOS and Windows.

Write about your current mood, the lyrics of your favorite song, or even a random thought that popped into your head — AI will do the rest.

An app for creating audio-based content such as song covers and speech using Retrieval-based Voice Conversion.

This program can recognize your mood by detecting your face and play song according your mood

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

Lyrics generation with GPT2-based Transformer

UC Berkeley team's submission for RecSys Challenge 2018

Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan, and Chu-Song Chen, "Data-specific Adaptive Threshold for Face Recognition and Authentication," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2019

[ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou