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We present Tony, a software tool for the interactive annotation of melodies from monophonic audio recordings, and evaluate its usability and the accuracy of its note extraction method. The scientific study of acoustic performances of melodies, whether sung or played, requires the accurate transcription of notes and pitches. To achieve the desired(More)
The promise of the Semantic Web is to democratise access to data, allowing anyone to make use of and contribute back to the global store of knowledge. Within the scope of the OMRAS2 Music Information Retrieval project, we have made use of and contributed to Semantic Web technologies for purposes ranging from the publication of music recording metadata to(More)
Sonic Visualiser is the name for an implementation of a system to assist study and comprehension of the contents of audio data, particularly of musical recordings. It is a C++ application with a Qt4 GUI that runs on Windows, Mac, and Linux. It embodies a number of concepts which are intended to improve interaction with audio data and features, most notably(More)
Sonic Visualiser is a friendly and flexible end-user desktop application for analysis, visualisation, and annotation of music audio files. Its stated goal is to be "the first program you reach for when want to study a musical recording rather than simply listen to it". To this end, it has a user interface that resembles familiar audio editing applications,(More)
We introduce MedleyDB: a dataset of annotated, royalty-free multitrack recordings. The dataset was primarily developed to support research on melody extraction, addressing important shortcomings of existing collections. For each song we provide melody f 0 annotations as well as instrument activations for evaluating automatic instrument recognition. The(More)
In this submission we offer for evaluation several audio feature extraction plugins in Vamp format. Some of these plugins represent efficient implementations based on modern work, while others are no longer state-of-the-art and were developed a few years ago. The methods implemented in this set of plugins are described in the literature and are referenced(More)
In this submission we offer for evaluation several audio feature extraction plugins in Vamp format. Most of these plugins were also submitted to the 2013 and 2014 editions of MIREX. The majority are unchanged here and may offer a useful baseline for comparison across years. One plugin (Silvet, submitted for the Multiple Fundamental Frequency Estimation and(More)
In this submission we offer for evaluation several audio feature extraction plugins in Vamp format. Most of these plugins were also submitted to the 2013, 2014, and 2015 editions of MIREX. The majority are unchanged here and may offer a useful baseline for comparison across years. One category (Audio Downbeat Estimation) sees a new submission, although it(More)
In this submission we offer for evaluation several audio feature extraction plugins in Vamp format. Some of these plugins represent efficient implementations based on modern work, while others are no longer state-of-the-art and were developed a few years ago. The methods implemented in this set of plugins are described in the literature and are referenced(More)
Although researchers are increasingly aware of the need to publish and maintain software code alongside their results, practical barriers prevent this from happening in many cases. We examine these barriers, propose an incremental approach to overcoming some of them, and describe the Sound Software project, an effort to support software development practice(More)
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