Abstract
We present an approach to automatically retrieve and extract
lyrics of arbitrary songs from the Internet. It is intended
to provide easy and convenient access to lyrics
for users, as well as a basis for further research based
on lyrics, e.g. semantic analysis. Due to the fact that
many lyrics found on the web suffer from individual errors
like typos, we make use of multiple versions from
different sources to eliminate mistakes. This is accomplished
by Multiple Sequence Alignment. The different
sites are aligned and examined for matching sequences of
words, finding those parts on the pages that are likely to
contain the lyrics. This provides a means to find the most
probable version of lyrics, i.e. a version with highest consensus
among different sources. Furthermore, we propose
a measure to estimate the quality of the predicted text.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR 2005), London, UK |
| Number of pages | 6 |
| Publication status | Published - 2005 |
Fields of science
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102015 Information systems
- 202002 Audiovisual media