Modeling Expressive Music Performance in Bassoon Audio Recordings
نویسندگان
چکیده
In this paper, we describe an approach to inducing an expressive music performance model from a set of audio recordings of XVIII century bassoon pieces. We use a melodic transcription system which extracts a set of acoustic features from the recordings producing a melodic representation of the expressive performance played by the musician. We apply a machine learning techniques to this representation in order to induce a model of expressive performance. We use the model for both understanding and generating expressive music performances.
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تاریخ انتشار 2006