Recognition and Organization of Speech and Audio: A program and some projects – Dan Ellis (Columbia University)

Abstract
The recently-established Laboratory for Recognition and Organization of Speech and Audio (LabROSA) at Columbia has the mission of developing techniques to extract useful information from sound. This covers a range of areas: General-purpose structure discovery and recovery, i.e. the basic segmentation problem over scales from subwords to episodes, and on both time and frequency dimensions; Source/object-based organization: Explaining the observed signal as the mixture of the independent sources that would be percieved by listeners; Special-purpose recognition and characterization for specific domains such as speech (transcription, speaker tracking etc.), music (classification and indexing), and other distinct categories. I will present more details on some current and new projects, including: Tandem acoustic modeling: Noise-robust speech recognition features calculated by a neural net. The Meeting Recorder project: Acoustic information extraction applications in a conventional meeting scenario. Machine Listening: Hearing for autonomous devices in the real world.

Johns Hopkins University

Johns Hopkins University, Whiting School of Engineering

Center for Language and Speech Processing
Hackerman 226
3400 North Charles Street, Baltimore, MD 21218-2680

Center for Language and Speech Processing