In the second experiment (Section 6), we evaluate the effectiveness of ELF as an automated tool to retrieve lyrics from the web. In the first experiment (Section 5), we evaluate the effectiveness of ELF's novel lyrics extraction algorithm.
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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. It should be noted that our system is named as Ethnic Lyrics Fetcher in the same sense the word 'ethnic' is used in Computational Ethnomusicology, i.e., our system is potentially able to retrieve lyrics for all of the world's music. The main contributions of this paper are the Ethnic Lyrics Fetcher (ELF) Systema (presented in Section 3) and its novel lyrics detection and extraction procedure (presented in Section 4). However, despite having available a private collection of about 12,000 songs, they only selected (randomly) 30 to 45 songs from each of the ten music genres available because of the inexistence of reliable automated tools to retrieve the lyrics for the whole collection.ĭespite the importance of song lyrics to the different types of MIR applications and systems and the problems reported by several authors, to the best of the authors' knowledge (as we shall see in Section 2), very little research has been carried out in the area of the automated lyrics retrieval from the web. In the work of, the authors created a lyrics dataset manually for the task of music genre classification. Any lyrics that were less than three lines or over 200 lines long were discarded. In their approach, they examined the line of each html page to determine whether it contained lyrics-like text or not and then selected the longest sequence of lyrics-like text lines in the page. In the work of, the authors noted that their simple lyrics mining procedure failed to filter out all the nontext lyrics. If they provided 'Tori Amos' (who has recorded a cover of the song) as the song artist. Alberto Carazzai, 1.640, Cornélio Procópio 86300-000, Brazil It would not find the lyricsĬorrespondence: Computer Music Technology Laboratory at the Federal University of Technology of Paraná, Av. For example, the system would only find the lyrics for the song 'Smells Like Teen Spirit' if the song artist provided was 'Nirvana'. In, the authors used a specialized online lyrics library (Leo's Lyrics) however, they mentioned that in their experiments, direct searching did not always work for cover songs. iron-mainden - fearofthedark), they were limited to using 5,631 lyrics out of 10,000 songs they had available. For example, in, the authors point out that due to some limitations on how they received their dataset (a list of song artist and song titles without blank spaces, e.g. The need for automated lyrics retrieval and extraction systems has been reported in several research papers. Furthermore, the authors of have shown that lyrics (at least in part) are the second most used in a MIR system and are also the second most desired information on such system. Examples of MIR applications with song lyrics are Music Mood Identification, Music Genre and Mood Classification, Artist Similarity, Artist Style Identification, Enhancing Query By Humming Systems, Automatic Recognition of Lyrics in Singing, among others. Song lyrics are used in many different types of music information retrieval (MIR) applications. Keywords: Lyrics retrieval Ethnic lyrics Music information retrieval 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. We performed two experiments to evaluate ELF's lyrics extraction mechanism and its performance as a lyrics fetcher tool. 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. However, despite its importance, very little research has been carried out for this task. The task of automatic retrieval and extraction of lyrics from the web is of great importance to different Music Information Retrieval applications.
Rafael P Ribeiro, Murilo AP Almeida and Carlos N Silla Jr*
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