Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Associate







809Electrical EngineeringSouth Kensington Campus






BibTex format

doi = {10.1109/IWAENC.2018.8521361},
pages = {461--465},
title = {Binaural mask-informed speech enhancement for hearing AIDS with head tracking},
url = {},
year = {2018}

RIS format (EndNote, RefMan)

AB - © 2018 IEEE. An end-to-end speech enhancement system for hearing aids is proposed which seeks to improve the intelligibility of binaural speech in noise during head movement. The system uses a reference beamformer whose look direction is informed by knowledge of the head orientation and the a priori known direction of the desired source. From this a time-frequency mask is estimated using a deep neural network. The binaural signals are obtained using bilateral beamformers followed by a classical minimum mean square error speech enhancer, modified to use the estimated mask as a speech presence probability prior. In simulated experiments, the improvement in a binaural intelligibility metric (DBSTOI) given by the proposed system relative to beamforming alone corresponds to an SNR improvement of 4 to 6 dB. Results also demonstrate the individual contributions of incorporating the mask and the head orientation-aware beam steering to the proposed system.
DO - 10.1109/IWAENC.2018.8521361
EP - 465
PY - 2018///
SP - 461
TI - Binaural mask-informed speech enhancement for hearing AIDS with head tracking
UR -
UR -
ER -