The Journal of Machine Learning Research
Supervised and semi-supervised separation of sounds from single-channel mixtures
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
A pattern language for sound design in games
Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound
UnderScore: musical underlays for audio stories
Proceedings of the 25th annual ACM symposium on User interface software and technology
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In this paper we present a novel interface for selecting sounds in audio mixtures. Traditional interfaces in audio editors provide a graphical representation of sounds which is either a waveform, or some variation of a time/frequency transform. Although with these representations a user might be able to visually identify elements of sounds in a mixture, they do not facilitate object-specific editing (e.g. selecting only the voice of a singer in a song). This interface uses audio guidance from a user in order to select a target sound within a mixture. The user is asked to vocalize (or otherwise sonically represent) the desired target sound, and an automatic process identifies and isolates the elements of the mixture that best relate to the user's input. This way of pointing to specific parts of an audio stream allows a user to perform audio selections which would have been infeasible otherwise.