Contact

Secratary's Office

+49 (0)441 798-3003

+49 (0)441 798-3698

W2-1-169

How to get here

Mailing adress

Carl von Ossietzky University
Department of Medical Physics and Acoustics
Acoustics Group
26111 Oldenburg

Visitors

Carl von Ossietzky University
Department of Medical Physics and Acoustics
Acoustics Group
Carl-von-Ossietzky-Str. 9-11
26129 Oldenburg

Peyman Goli

PhD. Electrical engineering

Research Areas

  • Speech quality enhancement
  • Speech intelligibility improvement
  • Speech source localization & detection
  • Deep learning
  • Brain signal analyzing
  • Adaptive filters

Curriculum Vitae

since 06/2020

Postdoctoral researcher at the Acoustics Division, Dept. Med. Physics and Acoustics, Carl von Ossietzky University, Oldenburg, Germany

9/2011 – 1/2017

PhD-student at Babol Noshirvani University of Technology, Electrical Engineering, Department of Electrical and Computer Engineering, Babol, Iran. Thesis: Speech intelligibility improvement in noisy environments based on energy reallocation in frequency

9/2003 – 8/2005

Master student at University of Mazandaran, Department of Electrical Engineering, Babol, Iran. Thesis: Speech noise reduction based on the spectrogram enhancement

9/1998 – 6/2002

Bachelor student at University of Mazandaran, Department of Electrical Engineering, Babol, Iran. Thesis: Designing Ultrasonic Distance Meter

Publications

Journal Articles

  • Peyman Goli (2019) A New Perceptually Weighted Cost Function in Deep Neural Network Based Speech Enhancement Systems, Hearing, Balance and Communication,17(3), 191–196. DOI: 10.1080/21695717.2019.1603948
  • Peyman Goli, M. R. Karami (2017) Speech Intelligibility Improvement in Noisy Environments Based on Energy Correlation in Frequency Bands, Digital Signal Processing, 62, 238–248. DOI: 10.1016/j.dsp.2016.12.005
  • Peyman Goli, K. Vaez (2018) Adaptive Speech Noise Cancellation using Wavelet Transforms, International Journal of COMADEM, 21(2), 39-42.
  • Peyman Goli, M. Raofy (2017) New Method Boosts Speech Intelligibility in Noisy Environments, Hearing Journal, 70(12), 38–46. DOI:10.1097/01.HJ.0000527880.00238.0d
  • Peyman Goli, E. M. Rad, K. Ghandehari, M. Azarnoosh (2017) Early Assessment of Mild Alzheimer’s Disease Using Elman Neural Network LDA and SVM Methods, Machine Learning Research, 2(4), 148-151. DOI: 10.11648/j.mlr.20170204.15
  • Peyman Goli, E. M. Rad (2019) Advantages in Deep Learning for ECoG based Speech Recognition, Hearing Journal, 72(8), 10–13. DOI: 10.1097/01.HJ.0000579568.52797.d2
  • Peyman Goli, M. R. Karami (2016) Speech Intelligibility Improvement in Noisy Environments for Near-End Listening Enhancement, Journal of Information Systems and Telecommunication, 13 (4), 27–33. DOI: 10.7508/jist.2016.01.004
  • Peyman Goli (2015) Iranian Car License Plate Detection Using Color Image Processing, Current Trends in Technology and Sciences Journal, Special issue "9thSASTech", 25-28.
(Changed: 19 Jan 2024)  | 
Zum Seitananfang scrollen Scroll to the top of the page