Learn More
In this paper, a transcription system for music played by violin is presented. The transcription system not only detects the pitch and duration of the notes but also identifies successfully the employed technique to play each note: détaché with and without accent and with and without vibrato, pizzicato, tremolo, spiccato and(More)
This paper presents a generic approach for automatic singing assessment for basic singing levels. The system provides the user with a set of intonation, rhythm and overall ratings obtained by measuring the similarity of the sung melody and a target performance. Two different similarity approaches are discussed: f<sub>0</sub> curve alignment through Dynamic(More)
This paper proposes a method for extracting the fingering configurations automatically from a recorded guitar performance. 330 different fingering configurations are considered, corresponding to different versions of the major, minor, major 7th, and minor 7th chords played on the guitar fretboard. The method is formulated as a hidden Markov model, where the(More)
In this paper, a system for the extraction of the tablature of guitar musical pieces using only the audio waveform is presented. The analysis of the inharmonicity relations between the fundamentals and the partials of the notes played is the main process that allows to estimate both the notes played and the string/fret combination that was used to produce(More)
In the present submission to MIREX 2013, we provide an algorithm to handle the symbolic melody similarity task. The method goal is to find the ten most similar melodies, according to one used as a query, among a database. Both query and melodies in the database are monophonic MIDI files. The novelty of the proposed algorithm is the tracking and evaluating(More)
In this paper a humming method for music information retrieval is presented. The system uses a database with real songs and does not need another type of symbolic representation of them. The system employs an original fingerprint based on chroma vectors to characterize the humming and the references songs. With this fingerprint, it is possible to get the(More)
In this paper, we present a method for monophonic singing transcription based on hysteresis defined on the pitch-time curve. This method is designed to perform note segmentation even when the pitch evolution during the same note behaves unstably, as in the case of untrained singers. The selected approach estimates the regions in which the chroma is stable,(More)