Merlijn Blaauw

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  • Enric Guaus i Termens, Xavier Serra, +14 authors Josep Maria Comajun
  • 2010
This dissertation presents, discusses, and sheds some light on the problems that appear when computers try to automatically classify musical genres from audio signals. In particular, a method is proposed for the automatic music genre classification by using a computational approach that is inspired in music cognition and musicology in addition to Music(More)
A common problem of many current singing voice synthesizers is that obtaining a natural-sounding and expressive performance requires a lot of manual user input. This thus becomes a time-consuming and difficult task. In this paper we introduce a unit selection-based approach for the generation of expression parameters that control the synthesizer. Given the(More)
In this paper we address the expressive control of singing voice synthesis. Singing Voice Synthesizers (SVS) traditionally require two types of inputs: a musical score and lyrics. The musical expression is then typically either generated automatically by applying a model of a certain type of expression to a high-level musical score, or achieved by manually(More)
The objective of this research is to model the relationship between actions performed by a violinist and the sound which these actions produce. Violinist actions and audio are captured during real performances by means of a newly developed sensing system from which bowing and audio descriptors are computed. A database is built with this data and used to(More)
This paper presents a method for the acquisition of violin instrumental gesture parameters by using a commercial two-sensor 3D tracking system based on electro-magnetic field (EMF) sensing. The methodolgy described here is suitable for acquiring instrumental gesture parameters of any bowed-string instrument, and has been devised by paying attention to(More)
In the last few years, many high quality and realistic violin synthesizers appeared. But the quality of the resulting sound is sometimes poorer than promised due to the lack of musical information provided to the system. It is very difficult for composers to deduce and include information like “bow speed”, “pressing force” or “fingering” to a MIDI file(More)
Excitation-continuous music instrument control patterns are often not explicitly represented in current sound synthesis techniques when applied to automatic performance. Both physical model-based and sample-based synthesis paradigms would benefit from a flexible and accurate instrument control model, enabling the improvement of naturalness and realism. We(More)
In the context of singing voice synthesis, the generation of the synthesizer controls is a key aspect to obtain expressive performances. In our case, we use a system that selects, transforms and concatenates units of short melodic contours from a recorded database. This paper proposes a systematic procedure for the creation of such database. The aim is to(More)
In this paper, we present a procedure to predict bow pressing force in a violin from data acquired in real recordings. We focus on the calibration procedure that must be robust to the bow tension changes in long recordings and fast enough to not disturb the recording session. Because of this last limitation, the calibration method here proposed does not(More)