Speech Separation for Recognition and Enhancement

A pitch for the significance of complex acoustic scenes ("Speech in the Wild"), and the importance of thinking about ways for separating and organizing them. Includes very brief reviews of separation by spatial cues, pitch, and source models

Model-Based Separation in Humans and Machines

Comparing human performance on source separation with different automatic approaches, and arguing for (a) using models, and (b) concentrating on the content, not the signal per se

Environmental Sound Recognition and Classification

Describes getting information out of soundtracks and environmental recordings

Speech Separation in Humans and Machines

An overview of the problem of separating speech in acoustic mixtures, including some perceptual results, brief introductions to ICA and CASA, and a pitch for model-based analysis

Auditory Scene Analysis in Humans and Machines

Tutorial on auditory scene analysis and source separation in humans and machines

Recognizing and Classifying Environmental Sounds

Prof. Ellis presents a summary of LabROSA's new work, with a focus on recognizing environmental sounds, particularly for video classification by soundtrack