Binaural signal processing algorithms for hearing aids
Summary
Within the last half-decade that it has become possible to transfer audio signals between bilaterally-fitted hearing aids (Moore, 2007, The Hearing Journal, Vol. 40, No. 11, pp 46-48). This is primarily attributed to the technological advances in integrated circuit design, longer lasting batteries and also wireless inter-communication between the two hearing aids, e.g., using near-field magnetic induction (NFMI) communication. The possibility to exchange audio signals between bilaterally-fitted aids opens the door to new types of binaural signal processing algorithms to assist hearing-impaired listeners separate sounds of interest from background noise.
Supervisor(s)
Associate Professor Craig Jin, Professor Philip Leong, Professor Alistair McEwan
Research Location
Electrical and Information Engineering
Program Type
Masters/PHD
Synopsis
This research project explores binaural signal processing algorithms for hearing-aids. The operation of hearing aids in complex spatial sound environments will be explored. A database of spherical microphone array recordings will be created. A spherical loudspeaker array will be used to reconstruct the spatial audio and hearing aid algorithms may be tested using an acoustic manikin.
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Keywords
Hearing impairment, binaural hearing aids, binaural signal processing, spatial sound environments for binaural hearing aids
Opportunity ID
The opportunity ID for this research opportunity is: 1367
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Other opportunities with Professor Philip Leong
- other research opportunities available at Faculty of Engineering
- FPGA-based Low Latency Trading
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- Test
- Mapping 2D Images to 3D Shape
- New technique for studying human brain activity
- Next Generation Audio Coding
- Spherical multi-modal scene analysis
- Statistical models of ear shape and ear acoustics
- Medical diagnostics for neonates in the developing world
- Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design
- Impedance tomography for cardiac imaging: high speed tomography
- Novel Electrodes for rapid electrophysiological recording
Other opportunities with Professor Alistair McEwan
- Medical diagnostics for neonates in the developing world
- Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design
- Impedance tomography for cardiac imaging: high speed tomography
- Novel Electrodes for rapid electrophysiological recording
- Implant electrode optimisation and neurolinguistics
- Subdivided electrodes to improve defibrillators and physiological measurements
- Electrical impedance modelling for implants
- Magnetic resonance electrical impedance tomography
- Development of a microwave catheter for cardiac ablation to treat ventricular tachycardia
- Resuscitation monitors for the neonatal intensive care uni (NICU)
- ARTIFICIAL INTELLIGENCE/MACHINE LEARNING ASSISTED NEWBORN CRITICAL CARE (VIRTUAL CRITICAL CARE MODELING)
- Mapping 2D Images to 3D Shape
- New technique for studying human brain activity
- Next Generation Audio Coding
- Spherical multi-modal scene analysis
- Statistical models of ear shape and ear acoustics
- FPGA-based Low Latency Trading
- Floating Point FPGA Architectures
- Placement-aware Hardware Description Languages
- Scalable vision machines
- Modelling Parkinson's disease using control models
- FPGA-based low latency machine learning