TEA Lab

Research

Current Research

NN-array speech enhancement

  • Parameter estimation: SPP, PSD, SCM, ATF/RTF/RIR, source counting
  • Localization
  • Enhancement: denoising, dereverb, AEC/AFC
  • Separation: LSTSC

Telepresence

  • Model matching: TIKR, LCMV, GSC, NN-based model matching
  • Manifold learning: source & sensor interpolation via PWD, RKHS, RBF, NN

Machine condition monitoring & diagnosis

  • DL: semi/self-supervised learning
  • Array board (FPGA)
  • Acoustic camera (SOFI): NN-inverse problem

Past Research

Active Noise & Vibration Control (ANC)

  • Active electronic muffler
  • Active 3D noise-cancelling headphones & mobile phones
  • Echo cancellation & noise suppression for communications
  • Active vibration-isolation platform
  • Active rotor vibration control
  • Active vibration control of piezoelectric cantilever beams

Noise & Vibration Diagnosis & Control (NVDC)

  • Intelligent real-time order analysis for rotating machinery
  • Noise & vibration measurement and control
  • Microphone-array sound source identification (NABF)
  • Vehicle NVH diagnosis & control

Acoustics Theory & Applications

  • Boundary element method (BEM) sound field analysis
  • Boundary virtual source representation (BVSR) analysis
  • Acoustic inverse problem analysis
  • Acoustic-structure interaction analysis
  • Acoustic holography (NAH/STSF)