lyrics-generation

Code for ACL 2020 paper "Rigid Formats Controlled Text Generation"：https://www.aclweb.org/anthology/2020.acl-main.68/

Lyrics generation with GPT2-based Transformer

Complete Production Environment for professional MiniMax Music 3 audio generation, including Prompt Generation, Metadata generation including Cover Art, Sound Enhancement to improve Minimax weaknesses, mastering, and saving in various file formats

ComfyUI custom nodes for Suno — generate, remix, extend, and shape AI music inside ComfyUI via the muapi.ai API.

Melody-Lyric-Generator is a tool for generating cohesive musical compositions by integrating melody generation and lyric creation. It leverages machine learning models, including fine-tuned GPT-2, and datasets like MAESTRO to produce high-quality melodies and Spanish-language lyrics.

Suno AI music and lyrics generation service.

In the project, the aim is to generate new song lyrics based on the artist’s previously released song’s context and style. We have chosen a Kaggle dataset of over 57,000 songs, having over 650 artists. The dataset contains artist name, song name, a link of the song for reference & lyrics of that song. We tend to create an RNN character-level la…

A song lyric generator based on sentiment and genre based input, created as the final project for CS505 at Boston University

This repository contains a database of lyrics from the albums of Seedhe Maut. The lyrics were scraped from Genius compiled into a structured dataset.

Train an LSTM machine learning model to generate lyrics based on any artists style. End-to-end package allowing lyrics fetching, clean up, training, and generation.

AI-powered lyrics and music generation experiment built with Python.

Generate emotionally coherent song lyrics from melodies using deep learning. Combines LSTM-based language modeling with static and time-aligned MIDI features.

Knowledge-driven chatbot for creative lyric generation that combines an ontology-backed knowledge graph (emotion, theme, genre) with LLM generation.