Ph.D. Student, ECE+NLP
UC Santa Barbara
My master's thesis project involving adapting neuromuscular modelling to drive better deep speech synthesis and processing.
Created novel Word Pair Convolutional Model for classification of speaker agency and sociality of a self-description of happy moments for the CL-Aff shared task that achieved runner-up highest classification accuracy on the test set, and over 91% accuracy on cross validation evaluation.
Assisting in user study on the impact of audio/facial expression entrainment and conflict in emotion identification for visually impaired participants recieving haptic facial expression representations.
Assisting in the collection of a pedestrian crowd "millions of LiDAR frames" dataset to facilitate a "predict next n LiDAR frames given previous m" task, and developing neural network architectures that can process the data.
Evaluated the performance of low-cost 16-segment solid state LiDAR units from Velodyne within an integrated video/distance frame paradigm, work in review for SPIE Journal.
Created ASR-based objective measures of hypernasality in speech leveraging common nasal/plosive co-located "cognates" for use in larger nasality classification systems that are disorder-agnostic. Work under review for ICASSP 2019
Aided in the integration of multiple objective measures including an acoustic feature and Goodness of Pronunciation for disorder-agnositc nasalit y classification. Work will be submitted to IEEE SPS.
Created integrated control and measurement system for sub micron-scale semiconductor optical strain measurement in LabVIEW.