WELCOME

Yi-Ting

About Me:

Name: Yi-Ting Tsai

Languages: English, Mandarin

Email: ytsai25@jhu.edu

I'm currently working as a DSP software engineer at Bose Professional, primarily focusing on machine learning in audio applications.

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Graduate School:

Master's degree: The Johns Hopkins University, graduated in Dec. 2022

Major: Electrical and Computer Engineering

Concentration Area: Human Language Technology

Research Projects: Speech and Machine Learning for Neurodegenerative Disease Analysis; A Cross-lingual Evaluation of the Automatic Detection of Parkinson’s Disease from Speech using X-Vectors and TRILLsson Representations


Undergraduate:

Bachelor's degree: University of Washington, Class of 2018

Major: Electrical Engineering (Minor: Philosophy)

Concentration Area: Digital Signal and Image Processing


Patents and Works:

Journal paper: Favaro, A., Tsai, Y., Butala, A., Thebaud, T., Villalba, J., Dehak, N., Moro-Velázquez, L. (2023). Interpretable speech features vs. DNN embeddings: What to use in the automatic assessment of Parkinson’s disease in multi-lingual scenarios. Computers in Biology and Medicine. 166: 107559.

Patent: Tsai, Y., Lai, F., Guo, Y. (2023). Sound noise reduction algorithm and system thereof (CN111341337B).

Patent: Tsai, Y., Fan, W., Liu, X. (2021). Wind noise suppression method applicable to artificial cochlea, and system thereof (CN111261182B/WO2021223518A1).

Patent: Guo, Y., Lai, F., Tsai, Y., Fan, W., Liu, X. (2021). Gain adjustment method suitable for cochlear implant (CN111479204B).

Presentation: Tsai, Y., Ong, T., Nie, K. (2019). A real-time noise reduction algorithm by estimating speech gap for cochlear implant. Poster presented at the Conference on Implantable Auditory Prostheses, Lake Tahoe, CA