Ensemble: A Hybrid Human-Machine System for Generating Melody Scores from Audio
نویسندگان
چکیده
Music transcription is a highly complex task that is difficult for automated algorithms, and equally challenging to people, even those with many years of musical training. Furthermore, there is a shortage of high-quality datasets for training automated transcription algorithms. In this research, we explore a semi-automated, crowdsourced approach to generate music transcriptions, by first running an automatic melody transcription algorithm on a (polyphonic) song to produce a series of discrete notes representing the melody, and then soliciting the crowd to correct this melody. We present a novel web-based interface that enables the crowd to correct transcriptions, report results from an experiment to understand the capabilities of non-experts to perform this challenging task, and characterize the characteristics and actions of workers and how they correlate with transcription performance.
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