Abstract
Abstract The task of automatic retrieval and extraction of lyrics from the web is of great importance to different Music Information Retrieval applications. However, despite its importance, very little research has been carried out for this task. For this reason, in this paper, we present the Ethnic Lyrics Fetcher (ELF), a tool for Music Information Researchers, which has a novel lyrics detection and extraction mechanism. We performed two experiments to evaluate ELF’s lyrics extraction mechanism and its performance as a lyrics fetcher tool. Our experimental results show that ELF performs better than the current state of the art, using website-specific lyrics fetchers or manually retrieving the lyrics from the web.
Highlights
Song lyrics are used in many different types of music information retrieval (MIR) applications
We observed that some of the websites have among their structured lyrics some kind of promotional message such as ‘Ringtone - Send this ringtone to your cell phone!’ which was removed by the lyric extraction procedure used by Ethnic Lyrics Fetcher (ELF)
In this paper, we have presented the ELF tool and its novel lyrics detection and extraction mechanism
Summary
Song lyrics are used in many different types of music information retrieval (MIR) applications. 5. In the fifth step, the ELF system uses its novel lyrics detection and extraction mechanism in order to identify if a given website contains a song lyrics or not.
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