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Yi Li

Improving speech enhancement performance.

Email: y.li40@ncl.ac.uk

Project title

Cocktail party problem based machine learning methods and neural networks

Supervisors

Project description

My research project will provide a novel algorithm for the MSS.

Methodology and objectives

The research will use neural networks.

We will establish a system to train two signal approximation (SA)-long short-term memory (LSTM) blocks sequentially and dereverberate speech mixture. For the next step, we will develop a subband training LSTM based speech enhancement method will.

Result

The proposed method can further improve speech enhancement performance compared with state-of-the-art methods in terms of:

  • STOI (short-time objective intelligibility)
  • PESQ (Perceptual Evaluation of Speech Quality), and
  • SDR (source to distortion ratio)

Publications

Qualifications

  • MSc in Communications and Signal Processing from Newcastle University