Mathematics and Computer Science

Special Issue

Advanced Deep Learning Methods for Audio and Speech processing

  • Submission Deadline: May 20, 2020
  • Status: Submission Closed
  • Lead Guest Editor: Peyman Goli
About This Special Issue
Deep learning algorithms are widespread in audio and speech processing methods, from the state-of-the-art researches to the applications on our smartphones. This growing deployment of deep leaning-based audio and speech processing algorithms would not have been possible if not for the lightning-fast progress of computer science in both hardware and software aspects.

Recently, employing deep learning in audio and speech processing approaches has shown significant improvement in system performance compared to the signal processing methods applying conventional machine learning algorithms. Automatic feature engineering in deep learning algorithms make them so compatible for learning the representations of audio and speech signals and creating a complex mapping between acoustic features and targets. Currently, deep neural networks have a wide-range application in audio and speech processing methods such as automatic speech recognition, speech enhancement, speech intelligibility improvement, multi-talker localization, noise PSD estimation, attended speech identification, beam forming, hearing aid development, and acoustic echo cancelation.

An even more interesting research trend is focusing on new strategies for deep neural network based speech processing methods such as new stage-of-the-art combinations (i.e. deep neural network and hidden Markov model combinations) and multi-task learning models.

The authors are encouraged to submit original research articles, reviews, theoretical and critical perspectives, and viewpoint articles in the fields of advanced deep learning methods for audio and speech processing.

Aims and Scope:

  1. Automatic speech recognition
  2. Deep neural network based speech enhancement
  3. Deep neural network based speech understanding improvement
  4. Audio and speech compression using deep learning
  5. Deep learning in multi-speaker localization
  6. Deep learning in brain signal based speech perception assessment
Lead Guest Editor
  • Peyman Goli

    Department of Electrical and Computer Engineering, Khavaran Institute of Higher Education, Mashhad, Iran

Guest Editors
  • Stuart Rubin

    Department of Applied Science and Technology / Intelligent Sensing Branch, Space and Naval Warfare Systems Center Pacific, San Diego, United States

  • Nanlin Jin

    Department of Computer and Information Science, Northumbria University, Newcastle Upon Tyne, United Kingdom

  • Matheus Lima

    Department of Plant Pathology, Polytechnical University of Valencia, Valencia, Spain

  • Ping Guo

    Department of Computer Science, University of Illinois at Springfield, Springfield, United States

  • Sangho Park

    Department of Computer, Electronics and Graphics Technology, Central Connecticut State University, New Britain, United States

  • Vanye Zira Vanduhe

    Department of Management Information Systems, Cyprus Intentional University, Lefkosia, Cyprus

  • Tianchi Zhao

    Department of Electrical and Computer Engineering, The University of Arizona, Tucson, United States

  • Yulun Wu

    School of Information and Software Engineering, University of Electronic Science and Technology, Chengdu, China

  • Pollyana Notargiacomo

    School of Computing and Informatics, Mackenzie Presbyterian University, São Paulo, Brazil

  • Nida Gokce

    Department of Statistics, Mugla Sıtkı Kocman University, Muğla, Turkey

  • Peiying Zhang

    China University of Petroleum, Beijing, China

  • Kanadit Chetpattananondh

    Department of Electrical Engineering, Prince of Songkla University, Songkhla, Thailand

  • Aruna Pavate

    Department of Information, Technology Mumbai University, Mumbai, India

  • Mohan Bansal

    Indian Institute of Technology Kanpur, Kanpur, India

  • Joe Marie Dormido

    College of Computer Studies, Carlos Hilado Memorial State College, Bacolod, Philippines

  • Krishna Kumar Mohbey

    Central University of Rajasthan, Rajasthan, India

  • Praveen Kumar Donta

    Department of Computer Science and Engineering, Indian Institute of Technology Dhanbad, Dhanbad, India

  • Maan Rasheed

    Department of Mathematics, Mustansiriyah University, Baghdad, Iraq

  • Mohammad-Reza Karami

    Department of Electrical and Computer Engineering, Babol Noshivani University of Technology, Babol, Iran