In this paper, we provide a first-person outlook on the technical challenges and developments involved in the recording, analysis, archiving, and cloud-based interchange of multimodal string quartet performance data as part of a collaborative research project on ensemble music making. In order to facilitate the sharing of our own collection of multimodal recordings and extracted descriptors and annotations, we developed a hosting platform and data archival protocol through which multimodal data (audio, video, motion capture, descriptor signals) can be stored, visualized, annotated, and selectively retrieved via a web interface and a dedicated API. By way of this paper we make a twofold contribution: (a) we open our collection of enriched multimodal datasets to the community, the Quartet Dataset ; and (b) we introduce and enable access to our multimodal data exchange platform, the Repovizz system, through which users can upload recorded data, and navigate, playback, or edit existing datasets via a standard Internet browser.
Abstract. In this article we present our ongoing work on expressive performance analysis for violin and string ensembles, in terms of synchronization in intonation, timing, dynamics and articulation. Our current research objectives are outlined, along with an overview for the methods used to achieve them; finally, focusing on the case of intonation synchronization in violin duets, some preliminary results and conclusions based on experimental recordings are discussed.
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