Telegram-Zalo/zac2022-lyric-alignment
Solution for Zalo AI Challenge 2022 - Lyrics Alignment
This project helps music producers, karaoke app developers, or lyric video creators accurately synchronize song lyrics with their corresponding audio. It takes an audio file and its lyrics as input, then outputs precise timestamps for each word in the song. This is invaluable for anyone who needs to display lyrics in perfect time with the music.
No commits in the last 6 months.
Use this if you need to automatically generate highly accurate, word-level timing for song lyrics to create synchronized lyric displays or karaoke tracks.
Not ideal if you're looking for a tool to transcribe audio into text or to simply display lyrics without precise timing.
Stars
68
Forks
18
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 05, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Telegram-Zalo/zac2022-lyric-alignment"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
mikezzb/lyrics-sync
A deep learning lyrics-to-audio alignment system, generating synchronized lyrics from a song and...
kjaisingh/Rap-Lyrics-Generator
An LSTM implementation for a Rap Lyric Generator that spawns rap lyrics based on a Kaggle...
qibinc/Lyrics
Deep learning for lyrics.
FlorentTariolle/MetalMining
Large-scale analysis of metal lyrics combining custom lexical metrics, sentiment scoring, and...
ronitkothari/Rap-Lyrics-Generator
A rap lyrics generator built using Python with Machine Learning