Sampling, the practice of reusing recorded music or sounds from another source in a new work, is common popular genres like hip-hop and rap. Numerous services have emerged that allow users to identify connections between samples songs incorporate them, with goal enhancing discovery. Designing system can perform same task automatically challenging, as are commonly altered audio effects pitch- time-stretching may only be seconds long. Progress on this has been minimal further blocked by...

Coordination between participants is a necessary foundation for successful human interaction. This especially true in group musical performances, where action must often be temporally coordinated the members of an ensemble their performance to effective. Networked mediation can disrupt this coordination process by introducing delay when sound produced and it received. result significant deteriorations synchrony stability performers. Here we show that five duos professional jazz musicians...

Great musicians have a unique style and, with training, humans can learn to distinguish between these styles. What differences performers enable us make such judgments? We investigate this question by building supervised-learning model that predicts performer identity from data extracted automatically an audio recording. Such could be trained on all kinds of musical features, but here we focus specifically rhythm, which (unlike harmony, melody, and timbre) is relevant for any instrument....

Recent advances in automatic music transcription have facilitated the creation of large databases symbolic transcriptions improvised forms including jazz, where traditional notated scores are not normally available. In conjunction with source separation models that enable audio to be “demixed” into separate signals for multiple instrument classes, these algorithms can also applied generate annotations every musician a performance. This analysis interesting performer-level and ensemble-level...

Recent advances in automatic music transcription have facilitated the creation of large databases symbolic transcriptions improvised forms including jazz, where traditional notated scores are not normally available. In conjunction with source separation models that enable audio to be “demixed” into separate signals for multiple instrument classes, these algorithms can also applied generate annotations every musician a performance. This analysis interesting performer-level and ensemble-level...

Great musicians have a unique style and, with training, humans can learn to distinguish between these styles. What differences performers enable us make such judgements? We investigate this question by building machine learning model that predicts performer identity from data extracted automatically an audio recording. Such could be trained on all kinds of musical features, but here we focus specifically rhythm, which (unlike harmony, melody and timbre) is relevant for any instrument....

Coordination between participants is a necessary foundation for successful human interaction. Group musical improvisation, example, requires the synchronization of timing performers to be effective. Networked mediation can disrupt coordination process by introducing delay production and reception sounds. This result in significant deteriorations temporal asynchrony stability performers. Here we show that pairs musicians adopt diverse strategies when coordinating performances over network....