We are members of University Valahia of Targoviste (site) and Research Center in Electrical Engineering, Electronics and Information Technology (site).
Location Aleea Sinaia Street, nr. 13,
130004 Targoviste, Dambovita
Emailfelix.albu@valahia.ro
felix.albu@gmail.com
Call Phone:+40/245/206101 and Fax: +40/245/217692
The research team is composed of five senior researchers, one postdoctoral researchers and two PhD student free possition.
The quality of life of human beings is seriously impacted by the loss of hearing and this is an increasing medical problem in Romania and the EU. While significant advances have been achieved in hearing aid design, there is still user dissatisfaction with commercially available hearing aids, especially regarding howling, occlusion, and entrainment effects. This project proposes an original approach to reduce these annoying sounds by combining active noise control (ANC), acoustic feedback cancellation (AFC), and machine learning (ML) approaches. Multiple and novel ways the machine learning-based block can influence the parameters of the linear/nonlinear adaptive filters will be investigated by using the team's extensive experience in the ANC and AFC domains. Up to 20 dB improvement on maximum stable gain (MSG), added stable gain (ASG) is expected, increased robustness to noise, and under-modeling of the feedback path for both real speech and music signals. The proposed algorithms will be implemented on DSPs and FPGAs. It is expected that the proposed algorithms could have potential applications in telecommunications (e.g. stereo acoustic echo cancellation, mobile communications), consumer electronics (e.g. the ANC systems for motorcycle helmets), etc.
