Autocomplete vocal- f o annotation of songs using musical repetitions

Audio annotation for music clips is an important task for machine-learning-based music analysis and applications. However, it is a time-consuming task because it often requires repetitive manipulations even though typical audio files often contain repetitive structures ( e.g. , a song often has similar phrases used multiple times). In this paper we present a new interaction technique, to intelligently automate repetitive manipulations for audio annotation. It mimics the "autocompletion" functions used in source code editors and spreadsheet software and is called Autocomplete Audio Annotation. We developed a proof-of-concept system for annotating the continuous fundamental frequency ( f o ) of a vocal part of a song.