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The LEXI speech analysis and recognition system project
IAP and Spring
RLE: Research Lab for Electronics
Stefanie Shattuck-Hufnagel: firstname.lastname@example.org
The LEXI speech analysis and recognition system project Current automatic speech recognition systems function usefully, but operate very differently from human speech perception. This UROP involves work on a speech signal analysis system that is modeled more closely on what we know about human speech processing. During IAP and the spring term, you will learn the theoretical framework for analyzing the speech signal in terms of acoustic cues to the features of the sounds that define and contrast spoken words. During the initial tutorial sessions (IAP and into the spring semester) you will learn how to label the set of basic acoustic cues related to segmental features, and contribute to our growing database of cue-labeled speech. You will also learn the basic concepts of speech signal processing, using Matlab. In the later part of the spring semester, you will have the opportunity to progress to contributing to development of the LEXI system. Opportunities here include 1) Development of modules for automatic detection of basic acoustic cues, integration into derived cues, consolidation into phonemes and matching to word sequences, 2) Extension of the LEXI speech analysis framework to languages other than English---current efforts are focused on Spanish, Italian, and Korean, with Mandarin on the horizon, and 3) Development of analysis software for quantifying the cue modification patterns in different contexts; this work includes the goal of characterizing cue production profiles for individual speakers, as well as for specific populations of speakers, for possible use in clinical diagnosis of speech disorders. Candidates with overlapping interests in Course 6, Course 9 and/or Course 24 are particularly appropriate. Requires a commitment of 20 hours per week during IAP, and 10 hours per week during the Spring Term. Possibility of extension into a part-time summer UROP. Pays $13.50 per hour; can also be done for credit. Contact Dr. Stefanie Shattuck-Hufnagel, Speech Communication Group/RLE, email@example.com.
Candidates with overlapping interests in Course 6, Course 9 and/or Course 24 are particularly appropriate.