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W02 1-165

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

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

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.
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