Data-driven speech intelligibility enhancement and prediction for hearing aids

Activity: ExaminationResearch


Describes various methods of data-driven control of hearing aid gain prescription as well as de-noising processing. Most of the work is on intelligibility prediction with an apriori refernce, but the last chapter descirbes an interesting technique which is "blind" to the reference speech and predicts intelligibility from the failure rate of a group of differently-trained speehc recognisers.
Period23 Jun 2023
ExamineeZehai Tu
Examination held at
  • The University of Sheffield
Degree of RecognitionNational


  • speech intelligibility, hearing aids, deep neural nets