Computer Music Modeling and Retrieval: Second International by Elaine Chew, Xiaodan Wu (auth.), Uffe Kock Wiil (eds.)

By Elaine Chew, Xiaodan Wu (auth.), Uffe Kock Wiil (eds.)

This e-book constitutes the completely refereed post-proceedings of the overseas machine tune Modeling and Retrieval Symposium, CMMR 2004, held in Esbjerg, Denmark in could 2004.

The 26 revised complete papers awarded have been rigorously chosen in the course of rounds of reviewing and development. a result of interdisciplinary nature of the world, the papers deal with a large number of subject matters. The papers are prepared in topical sections on pitch and melody detection; rhythm, pace, and beat; track new release and data; song functionality, rendering, and interfaces; track rankings and synchronization; synthesis, timbre, and musical taking part in; tune illustration and retrieval; and tune analysis.

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Extra resources for Computer Music Modeling and Retrieval: Second International Symposium, CMMR 2004, Esbjerg, Denmark, May 26-29, 2004. Revised Papers

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We found that peak continuation based on MIDI note numbers allows for a more robust trajectory build up. One reason for this seems to come from the fact that the location of peaks oscillates somewhat due to interference from other sources in the sound mixture. , for generation of a MIDI file). This algorithm is based on the definition of a maximum frequency deviation (in semi-tones in our case) for continuing trajectories. We define a value of one semitone, motivated by the fact that some songs comprise glissando and vibrato regions, as well as by the frequency oscillations that may result from interference of other sources.

This suggests that a more robust melody extraction module could lead to better results. We also tested our system with a simple monophonic saxophone riff, as referred throughout this paper. In this example, the results were very good in terms of detection of glissandos, vibratos and note onsets and offsets. Consequently, we hope our system could be used as a robust monophonic pitch detection tool. 4 Conclusions We have presented a system for melody detection in polyphonic musical signals. This is a main issue for MIR applications, such as QBH “real-world” music databases.

Springer-Verlag Berlin Heidelberg 2004 22 Rui Pedro Paiva, Teresa Mendes, and Amílcar Cardoso several technologies have been developed that aim to permit such function. However, presently, this work is being carried out only in the MIDI domain, which places important usability questions. In fact, usually we look for recorded songs, which can be obtained from CDs or are stored in audio formats such as mp3. Additionally, in our opinion, looking for musical pieces in the MIDI format is an easier problem, since there the melody is very often available in a separate channel.

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