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Ph.D. Proposal Oral Exam - Chuyao Feng

Event Details

Monday, December 2, 2019

2:00pm - 4:00pm

Room C1215, CODA

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Event Details

Title:  Intra-speaker Voice Quality Recognition for Voice Therapy


Dr. Anderson, Advisor   

Dr. Rozell, Chair

Dr. Moore


The objective of the proposed research is to provide patients in voice therapy with automated voice quality feedback outside of the clinical room through i-vector and deep learning approaches. Voice disorders affect a large portion of the population, especially impacting heavy voice users such as teachers or call-center workers. Voice therapy requires regular voice technique practice under the guidance of a voice therapist in weekly therapy sessions. Patients commonly experience difficulty reproducing the prescribed voice technique and voice quality independently between sessions without the guidance of a voice therapist. By adapting the i-vector approach and other deep learning algorithms, the proposed work effectively examines a speaker's different voice quality modes in unscripted and connected speech with high accuracy, demonstrating the potential of these methods to extend therapist judgment beyond the clinic walls.

Last revised December 2, 2019