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Ms. Yunqi Zhang |  Signal processing Award |  Best Researcher Award.

University of Auckland,New Zealand

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👨‍🎓 Bio Summary:

Yunqi Zhang is a Ph.D. student in Mechatronics Engineering at the University of Auckland, New Zealand. They have a Bachelor’s degree in Mechatronics Engineering from the same university. Yunqi has professional experience as a Micro-Internship Consultant and an Auto Electrician. They also have volunteer experience in companionship. Yunqi’s research focuses on speech communication, particularly the performance of speech enhancement algorithms. They are certified in JLPT N1 (Japanese Language Proficiency Test).

🎓 Education:

Yunqi Zhang is currently pursuing a Ph.D. in Mechatronics Engineering at the University of Auckland, New Zealand, following their completion of a B.E. (Hons.) in Mechatronics Engineering at the same institution. They also completed their NCEA Level 1-3 at Epsom Girls Grammar School in Auckland, New Zealand.

🔍 Research Focus:

Yunqi Zhang’s research focuses on speech communication, specifically the performance of speech enhancement algorithms on listeners with different immersion conditions and the effect of speech enhancement on phonetic level perception between native English and Mandarin listeners.

🏆 Honors & Awards:

Yunqi has achieved certification in the Japanese Language Proficiency Test (JLPT) at N1 level, showcasing their strong language skills in Mandarin Chinese, English, and Japanese.

Professional Experience: 💼

With a background in engineering, Yunqi has diverse professional experiences. They worked as a Micro-Internship Consultant at the University of Auckland, where they contributed to the Antarctica New Zealand’s Scott Base Redevelopment Project. Additionally, they have worked as an Auto Electrician at Real Alarm Sound Ltd in Auckland, New Zealand, installing and repairing vehicle electrical systems. Furthermore, they volunteered as a Companionship Volunteer at Elizabeth Knox Home and Hospital in Auckland, New Zealand, where they assisted residents and staff.

📚 Top Noted Publications :

Zhang, Y., Hui, J., Hioka, Y., & Watson, C. (2022). “Performance of speech enhancement algorithms for native Mandarin listeners on English perception.” Presented at the 24th International Acoustics Congress (ICA) 2022, pp. 111-116.

Zhang, Y., Watson, C., Hui, CTJ., & Hioka, Y. (2023). “Effect of speech enhancement at phonetic level perception of English speech between native English and Mandarin listeners.” Presented at the 20th International Congress of Phonetic Sciences, pp. 231-234.

Zhang, Y., Hioka, Y., Hui, CTJ., & Watson, CI. (2024). “Performance of single-channel speech enhancement algorithms on Mandarin listeners with different immersion conditions in New Zealand English.” Published in Speech Communication, 157, 103026.

Zhang, Y., Hioka, Y., Hui, CT., & Watson, CI. (2023). “Performance of speech enhancement algorithms on the speech intelligibility of native Mandarin listeners immersed in an English-speaking environment.” Presented at INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 268(8), pp. 397-402.

Hioka, Y., Hui, CT., Zhang, YC., D’Souza, A., & Wu, K. (2023). “Differences in speech intelligibility in noise under Ambisonics-based virtual acoustic environments with varying sound recording/rendering methods.” Presented at INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 268(8), pp. 347-356.

Author Metrics 📊 : 

Yunqi’s research contributions have been recognized in the academic community, with their work being cited in various publications and conferences, highlighting their impact in the field of speech communication.

📅 Research Timeline:

Yunqi’s research journey began in 2020 with their contributions to the 15th ICA International Congress on Acoustics in South Korea. They continued their research with contributions to the 20th International Congress of Phonetic Sciences (ICPhS) in Prague, Czech Republic, in 2023, and furthered their work with contributions to the Inter-noise conferences in 2023.

Ms Yunqi Zhang | Signal processing Award | Best Researcher Award |

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