A scalable Peer-to-Peer System for Music Content and Information Retrieval

Currently a large percentage of internet traffice consists of music files, typically stored in MP3 compressed audio format, shared and exchanged over Peer-to-Peer (P2P) networks. Searching for music is performed by specifying keywords and naive string matching techniques. In the past years the emerging research area of Music Information Retrieval (MIR) has produced a variety of new ways of looking at the problem of music search. Such MIR techniques can significantly enhance the ways users search for music over P2P networks. In order for that to happen there are two main challenges that need to be addressed: 1) scalability to large collections and number of peers 2) richer set of search semantics that can support MIR especially when retrieval is content-based. In this paper, we describe a scalable P2P system that uses Rendezvouz Points (RPs) for music metadata registration and query resolution, that supports atribute-value search semantics as well as content-based retrieval. The performance of the system has been evaluated in large scale usage scenarios using "real" automatically calculated musical content descriptors

Sonophenology: A Tangible Interface for Sonification of Geo-Spatial Phenological Data at Multiple Time-scales

Presented at the 16th International Conference on Auditory Display (ICAD2010) on June 9-15, 2010 in Washington, DC.Phenology is the study of periodic biological processes, such as when plants flower and birds arrive in the spring. In this paper we sonify phenology data and control the sonification process through a tangible interface consisting of a physical paper map and tracking of fiducial markers. The designed interface enables one or more users to concurrently specify point and range queries in both time and space and receive immediate sonic feedback. This system can be used to study and explore the effects of climate change, both as tool to be used by scientists, and as a way to educate members of the general public

SoundAnchoring: Content-based Exploration of Music Collections With Anchored Self-organized Maps

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Estimation of the direction of strokes and arpegios

Whenever a chord is played in a musical instrument, the notes are not commonly played at the same time. Actually, in some instruments, it is impossible to trigger multiple notes simultaneously. In others, the player can consciously select the order of the sequence of notes to play to create a chord. In either case, the notes in the chord can be played very fast, and they can be played from the lowest to the highest pitch note (upstroke) or from the highest to the lowest pitch note (downstroke). In this paper, we describe a system to automatically estimate the direction of strokes and arpeggios from audio recordings. The proposed system is based on the analysis of the spectrogram to identify meaningful changes. In addition to the estimation of the up or down stroke direction, the proposed method provides information about the number of notes that constitute the chord, as well as the chord playing speed. The system has been tested with four different instruments: guitar, piano, autoharp and organ.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. This work has been funded by the Ministerio de Economía y Competitividad of the Spanish Government under Project No. TIN2013-47276-C6-2-R, by the Junta de Andalucía under Project No. P11-TIC-7154 and by the Ministerio de Educación, Cultura y Deporte through the Programa Nacional de Movilidad de Recursos Humanos del Plan Nacional de I-D+i 2008- 2011

Automatic Melody Composition Inspired by Short Melodies Using a Probabilistic Model and Harmonic Rules

This demo shows how automatic melody composition of melodies that follow the style of a certain singleshort melodic excerpt can be achieved in such a way that the sample excerpt can be considered an inspirationalpiece of music for the automatic compositor.Music composition has been faced from diverse perspectives and using different approaches, among them theutilization of probabilistic schemes is common since early stages. For example, Brooks et al. [1] considerthe direct utilization of m-order Markov chains for music analysis and generation, and other authors havefollowed a relatively similar path [2]. Often large data sets are necessary to train music generation systems,though in some rare cases algorithms are developed to perform automatic melody composition based on asingle sample melody [5]; in such case, the application of explicit rules is of great importance.Considering the probabilistic approach to music models and music rules on the basis of the melody generationmodel developed in [4], a melody generation scheme is designed that is capable of generating music excerptswith the style and resemblance of short individual MIDI melody samples.Since only one sample melody of arbitrarily small duration will be considered, some modification must bedone to the system described in [4]. Specifically, modifications are necessary in the extraction of musicalparameters and in the generation scheme in order to provide with the necessary musical variability for theadaptation of extracted musical parameters and patterns. .Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech.This work was funded by Ministerio de Economía y Competitividad of the Spanish Government under Project No. TIN2016-75866-C3-2-R