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Yan Tang

Profile picture for Yan Tang

Contact Information

707 S Mathews Ave
4023 LCLB
707 S Mathews
M/C 168
Urbana, IL 61801

Assistant Professor

Research Interests

Speech intelligibility enhancement
Perceptually-motivated signal processing
Computational modelling of speech perception in noise
Speech perception and production in non-ideal listening conditions
Blind source separation
Robust automatic speech recognition

Research Description

My current research focuses on speech technologies such as speech intelligibility enhancement in adverse listening conditions, computational modelling of speech perception in noise and perceptually-motivated context-sensitive speech modification algorithms. My research interests also include speech perception and production in noise, psychoacoustics, source separation, and robust automatic speech recognition.

Education

Ph.D., Applied Linguistics (Computational Speech and Hearing), Universidad del País Vasco, Spain, 2014
MSc, Computer Science, University of Sheffield, UK, 2008
MSc, Environmental Chemistry, Sichuan University, China, 2007
BSc, Environmental Engineering, Chengdu University of Technology, China, 2004

Courses Taught

LING 291 - Linguistics Laboratory Research Experience

LING 391 - Honors Individual Study

LING 402 - Tools and Techniques for Speech and Language Processing

LING 446 - Fundamentals for Speech Signal Processing and Analysis

LING 448 - Introductory Machine Learning

LING 520 - Acoustic Phonetics

Additional Campus Affiliations

Assistant Professor, Linguistics
Assistant Professor, Beckman Institute for Advanced Science and Technology
Assistant Professor, Center for East Asian and Pacific Studies

Recent Publications

Ma, Y., & Tang, Y. (2024). The Intelligibility Benefits of Modern Computer-Synthesized Speech for Normal-Hearing and Hearing-Impaired Listeners in Non-Ideal Listening Conditions. Journal of Otorhinolaryngology, Hearing and Balance Medicine, 5(1). https://doi.org/10.3390/ohbm5010005

Huo, M., Sun, Y., Fogerty, D., & Tang, Y. (2023). Quantifying Informational Masking due to Masker Intelligibility in Same-talker Speech-in-speech Perception. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2023-August, 1783-1787. https://doi.org/10.21437/Interspeech.2023-1122

Huo, M., & Tang, Y. (2023). Towards Automating the Assessment of Teachers' Teaching Emotions in Preschool Classrooms. Proceedings of 20th International Congress of Phonetic Sciences (ICPhS), 2023-August. https://guarant.cz/icphs2023/16.pdf

Le, G., & Tang, Y. (2023). Misperception in Northern Vietnamese Tones due to the Lombard effect. Abstract from 184th Meeting of the Acoustical Society of America, ASA 2023. https://doi.org/10.1121/10.0018552

Le, G., & Tang, Y. (2023). The lombard effect on the vowel space of northern vietnamese. Proceedings of 20th International Congress of Phonetic Sciences (ICPhS), 2023-August. https://guarant.cz/icphs2023/1013.pdf

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