We then embed the retrieved videos in a recently developed web-based platform and enrich the videos with solo transcriptions that are part of the WJD.

With these techniques, we were able to identify 988 corresponding YouTube videos for 329 solos out of 456 solos contained in the WJD. First, we establish a link between the WJD annotations and corresponding YouTube videos employing existing retrieval techniques. The WJD contains various annotations related to famous jazz solos. In this paper, we consider a research corpus called the Weimar Jazz Database (WJD) as an illustrating example scenario. Our web-based tools offer researchers and music lovers novel possibilities to interact with and navigate through the content. With our contribution, we want to bridge this gap by enriching publicly available multimedia content with musical annotations available in research corpora, while maintaining easy access to the underlying data. Although they have great potential, these musical annotations are often inaccessible to users outside the academic world. On the other hand, a vast amount of high-quality and musically relevant metadata has been annotated in research areas such as Music Information Retrieval (MIR). Especially in the case of web services with user-supplied content, e.g., YouTube™, the available metadata is often incomplete or erroneous. Web services allow permanent access to music from all over the world. 3Jazzomat Research Project, University of Music Franz Liszt, Weimar, Germany.2Semantic Music Technologies Group, Fraunhofer IDMT, Ilmenau, Germany.1International Audio Laboratories Erlangen, Erlangen, Germany.

Youtube annotations 2018