Research Project Title:
Analyzing Speech Signals for Clinical Diagnosis of Speech Impairment
abstract:Speech impairments are among the most common disabilities of childhood and can be very devastating. However, the limited methods of diagnosis are often complicated and inaccurate since children can have multiple speech impairments. This project focuses on using a speech analysis system for clinical diagnosis of these impairments, analyzing modifications in distinct acoustic-phonetic aspects of features and phonemes in speech samples of children with various speech impairments. I will implement an alignment algorithm and perform analysis to find patterns of modification. I will further develop the system to improve its capacity for diagnosis so doctors can address these problems more effectively. This will also have implications for automatic analysis of speech from typical speakers.
I am excited about participating in SuperUROP with a project that combines my majors (computer science and linguistics) in which I can make a real change in this world. I have taken classes in phonology, algorithms, and artificial intelligence, and I look forward to using all the skills and knowledge that I gained in those classes in the context of research. I also hope to grow more as a researcher during the program.