|
|
|
|
|
|
Research interests:
Speech Processing
Noise, which comes in different shapes and forms, surrounds us everywhere. The need to remove external noise from the signal picked up by the microphone arises in many applications including cellphones and hearing aids or cochlear implant devices. As these devices are powered by a a DSP, they have the capability of processing the signal to "clean out" the noise. Dr. Loizou's research focuses on the development of signal processing algorithms that can remove or suppress the external noise. For more information about our speech processing research visit our Speech Processing LabCurrent Projects:
Development of algorithms that can improve speech intelligibility in noisy conditions
Computational auditory scene analysis
Development of noise estimation algorithms suitable for highly non-stationary noisy conditions.
Multi-channel processing algorithms including adaptive beamforming and blind source separation algorithms.
[Research supported in part by NIH ]
Cochlear Implants
Several million Americans today have profound hearing loss, and for years they had to rely on conventional hearing aids. Although hearing aids have been found to benefit hearing impaired individuals who suffer moderate deafness, they have not been found to benefit individuals with severe (sensorineural) deafness. Cochlear implants are now established as a new option for individuals with profound hearing impairments. Many of these individuals, who are implanted with cochlear prosthesis, are able to understand some speech without lip-reading. Several speech-sound processing techniques have been developed over the years that improved the benefits derived from the cochlear implant. Moderate levels of speech understanding can now be achieved with current speech-processing techniques. Dr. Loizou's research focuses on the development of new speech-sound processing strategies which will help improve the levels of speech performance even further. For more information about our cochlear implant research (supported by NIH) visit our Cochlear Implant Lab.
Signal processing for cochlear implants