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 tool to see how many times the artist said "Me" or to build a dictonary out of a certain artist

C++ audio player for wav files with lyrics support

simple python codes from short course mini exercises

Shell Program that fetches you lyrics of songs you need and Shell program to download all the images from a Site and list all hyper-links

Scraper for english-to-russian translation of song lyrics

This project aimed to investigate the topic differences between song lyrics written by male and female artists. The project involved using natural language processing to topic model on the song lyrics, and also included a web application that recommends songs based on lyrics written by an artist of the opposite gender

Song lyrics semantic search using Haystack.

SongLib is a personal Django application that helps me manage my song lyrics and setlists

Search songs and get the YouTube video and Spotify track, get random songs and more.

Song lyrics generation using Recurrent Neural Networks (RNNs)

Natural Language Processing of Beatles lyrics using Watson Personality Insights to analyze and compare the changes in Beatles songwriting over time.

Convert a song to an Anki Deck by providing a YouTube URL and an srt file.

Song is here, sing a song!! Generate a custom song using the model trained on 5500K+ song lyrics.

Applicazione ufficiale del Turno Giovani 1 del Valdulivi, anno 2022.

Una aplicación de buscador de canciones para practicar, hecha con Vanilla JS. Funcionalidad desarrollada a través de peticiones asíncronas para obtener la información requerida a través del formulario.

You can find the lyrics of your fav song using Songs Lyrics Finder

Download songs on YouTube and add metadata from Deezer, iTunes and Spotify.

A Christian Songbook for Italian Churches with 700 hymns, spiritual songs and revival choirs.