Projects

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• The Listening Machine - an NSF funded project into techniques for separating and recognizing sounds in mixtures
• Consumer video classification by soundtrack - using features from the soundtrack of environmental-type recordings for classification
• Data-driven Music Understanding - an NSF funded project into mining for structure in music audio
• Separating Speech from Speech Noise - an NSF funded project into signal separation aimed specifically at speech
• Chord recognition - including our submission to the 2008 MIREX Chord Recognition evaluation.
• Music similarity - including a database of popular music along with a collection of subjective similarity measurements for the artists involved.
• Music melody extraction - including example data for training and evaluating systems for extracting melody from ensemble music recordings.
• Polyphonic piano transcription - including example data for training and evaluating piano transcription systems.
• Personal Audio Life Logs - our project investigating the use of continuous audio recordings of daily life.
• Speech recognition in noisy, overlapped conditions
• Music analysis to recover structure, and to navigate archives
• Beat tracking and tempo estimation - a simple dynamic programming approach to finding the regularly-spaced events in music audio.
• Cover song identification - specifically focused on identifying common melodic-harmonic structure between different songs.
• Artist ID by Timbre and Chroma - a simple introduction to statistical modeling of music audio for classification.
• artist20 dataset and baseline system for Artist ID - a dataset of 20 artists (1413 tracks) plus a baseline artist identification system
• Marine mammal sounds separating, identifying, and recognizing whale and dolphin vocalizations
• Pitch contour stylization using drastically simplified pitch contours with almost no effect on perceived naturalness.
• MESSL - a system for separating and localizing mulitple sound sources even in reverberation.