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The analysis and separation of audio signals into their original components is an important prerequisite to automatic transcription of music, extraction of metadata from audio data, and speaker separation in video conferencing. In this paper, a method for the separation of drum tracks from polyphonic music is proposed. It consists of an Independent(More)
This paper proposes a real-time capable method for transcribing and separating occurrences of single drum instruments in poly-phonic drum recordings. Both the detection and the decomposition are based on Non-Negative Matrix Factorization and can be implemented with very small systemic delay. We propose a simple modification to the update rules that allows(More)
This publication presents a method for the automatic detection and classification of three distinct drum instruments in real world musical signals. The regarded instruments are kick, snare and hi-hat as agreed by the participants of the contest category Audio Drum Detection within the 2nd Annual Music Information Retrieval Evaluation eXchange (MIREX 2005).(More)
Automatic lyrics synchronization for karaoke applications is a major challenge in the field of music information retrieval. An important prerequisite in order to precisely synchronize the music and corresponding text is the detection of single phonemes in the vocal part of polyphonic music. This paper describes a system, which detects the phonemes based on(More)
Locating singing voice segments is essential for convenient indexing , browsing and retrieval large music archives and catalogues. Furthermore, it is beneficial for automatic music transcription and annotations. The approach described in this paper uses Mel-Frequency Cepstral Coefficients in conjunction with Gaussian Mixture Models for discriminating two(More)
This paper addresses the use of Music Information Retrieval (MIR) techniques in music education and their integration in learning software. A general overview of systems that are either commercially available or in research stage is presented. Furthermore, three well-known MIR methods used in music learning systems and their state-of-the-art are described:(More)
In this publication we describe a novel two-dimensional approach for automatic music genre classification. Although the subject poses a well studied task in Music Information Retrieval, some fundamental issues of genre classification have not been covered so far. Especially many modern genres are influenced by manifold musical styles. Most of all, this(More)
In this paper we present a novel algorithm for automatic analysis, transcription, and parameter extraction from isolated polyphonic guitar recordings. In addition to general score-related information such as note onset, duration, and pitch, instrument-specific information such as the plucked string, the applied plucking and expression styles are retrieved(More)
Large-scale systems for automatic content-based music recommendation require efficient computation of signal descriptors that are robust and relevant with regard to human perception in order to process extensive music archives. In this publication, a set of mid-level audio features suitable for efficient characterization of musical signals with regard to(More)