Dr Linxue Bai BEng, PhD, FHEA

Dr Linxue Bai

Teaching Fellow

Contact details

Address
School of Engineering
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Linxue Bai is a Teaching Fellow at the School of Engineering (SoE), where she does teachings for multiple undergraduate and postgraduate taught courses across the SoE.

Linxue’s research interests include machine learning, data science, and speech science and technologies.

Qualifications

  • Fellow of the Higher Education Academy (FHEA), 2023
  • PhD, Electronic and Electrical Engineering, University of Birmingham, 2018
  • BEng (1st Hons) in Electronic and Electrical Engineering, University of Birmingham, 2013
  • BSc in Electronic Engineering, Fudan University (China), 2013

Teaching

Undergraduate level

  • Elec, Elec & Sys Engineering
    • LI Microprocessors and Control Systems
    • LI Electronic Circuit Devices and Electromagnetics
    • BEng Individual Project
  • Mechanical Engineering
    • LI Mechatronics and Control Engineering
  • Engineering
    • LC Integrated Design Project 1

Postgraduate level

  • Elec, Elec & Sys Engineering
    • LM Introductory Module for Computer Engineering
    • Individual Projects

Publications

L. Bai, P. Weber, P. Jancovic and M. Russell, “Exploring how phone classification neural networks learn phonetic information by visualising and interpreting bottleneck features,” Interspeech, Hyderabad, India, 2018

M. Qian, L. Bai, P. Jancovic and M. Russell, “Phone Recognition using a Non-Linear Manifold with Broad Phone Class Dependent DNNs,” Interspeech, Hyderabad, India, 2018

L. Bai, P. Jančovič, M. Russell, P. Weber, and S. M. Houghton, “Phone Classification using a Non-Linear Manifold with Broad Phone Class Dependent DNNs,” in Interspeech, Stockholm, Sweden, 2017, pp. 319-323

P. Weber, L. Bai, M. Russell, P. Jančovič, and S. M. Houghton, “Interpretation of low dimensional neural network bottleneck features in terms of human perception and production,” in Interspeech, San Francisco, CA, USA, 2016, pp. 3384-3388

P. Weber, L. Bai, S. M. Houghton, P. Jančovič, and M. Russell, “Progress on phoneme recognition with a continuous-state HMM,” in IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 5850-5854

L. Bai, P. Jančovič, M. J. Russell and P. Weber, “Analysis of a low-dimensional bottleneck neural network representation of speech for modelling speech dynamics,” in Interspeech, Dresden, Germany, 2015, pp. 583-587

View all publications in research portal