Mood of Music is among the most relevant and commercially promising, yet challenging attributes for retrieval in large music collections. In this respect this article first provides a short overview on methods and performances in the field. While most past research so far dealt with low-level audio descriptors to this aim, this article reports on results exploiting information on middlelevel as...

A large amount of research has been undertaken with regard to the classification of lyrics into genres, but most of this work has featured solely English lyrics. This study investigates the implications of classifying a multilingual database and the effectiveness of a number of techniques and algorithms for doing so. Part of this involves the creation of a high-quality dataset for use in this r...

English Version: Nowadays computers start to replace the hi-fi system in living rooms all over the world. This opens up more and more possibilities for the user to gain additional information for the song currently played. One kind of information is the lyrics; that is what my diploma thesis deals with. The goal is to provide a program that is able to automatically align the lyrics to the audio...

This paper presents the outcomes of research into using lingual parts of music in an automatic mood classification system. Using a collection of lyrics and corresponding user-tagged moods, we build classifiers that classify lyrics of songs into moods. By comparing the performance of different mood frameworks (or dimensions), we examine to what extent the linguistic part of music reveals adequat...

This study is about a syntactic analysis on sentences in the song lyrics of Josh Groban by using tree diagram theory. Thus, aims this are (1) To find out types phrases used (2) sentence patterns lyrics. The object which entitled “You Raise Me Up”. method qualitative analysis. technique collecting data 3 steps. steps are: preparing and organizing, coding, (3) representing data. Finally, findings...