World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
8459
World Ranking
9607
National Ranking
4072

Overview

Hakan Erdogan is affiliated with Google in the United States and conducts research primarily in the field of computer science. Their work predominantly focuses on signal processing and artificial intelligence, supplemented by contributions to computer vision and pattern recognition as well as electrical and electronic engineering.

The core areas of their research include speech and audio processing, speech recognition and synthesis, and music and audio processing. Additionally, their studies touch on specialized topics such as music technology and sound studies, indoor and outdoor localization technologies, phonetics and phonology research, and advanced adaptive filtering techniques.

Hakan Erdogan has contributed significantly to the body of literature on sound separation and event detection. Selected recent publications include:

  • Unsupervised Sound Separation Using Mixture Invariant Training, 2020, arXiv (Cornell University)
  • Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes, 2020, arXiv (Cornell University)
  • Improving Sound Event Detection In Domestic Environments Using Sound Separation, 2020, arXiv (Cornell University)
  • Adapting Speech Separation to Real-World Meetings using Mixture Invariant Training, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Improving Sound Event Detection In Domestic Environments Using Sound Separation, 2020, arXiv (Cornell University)

Frequent co-authors collaborating with Erdogan include:

  • Scott Wisdom
  • John R. Hershey
  • Nicolas Turpault
  • Romain Serizel
  • Shinji Watanabe

The primary publication venues for Erdogan are arXiv (Cornell University) and Zenodo (CERN European Organization for Nuclear Research), with additional papers published in OPAL (Open@LaTrobe) at La Trobe University, ICASSP, and Interspeech 2022.

Best Publications

  • SDR – Half-baked or Well Done?

    Jonathan Le Roux;Scott Wisdom;Hakan Erdogan;John R. Hershey

  • Ordered subsets algorithms for transmission tomography.

    H. Erdogan;Jeffrey A. Fessler

  • Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks

    Hakan Erdogan;John R. Hershey;Shinji Watanabe;Jonathan Le Roux

  • Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR

    Felix Weninger;Hakan Erdogan;Shinji Watanabe;Emmanuel Vincent

  • Monotonic algorithms for transmission tomography

    H. Erdogan;J.A. Fessler

  • Improved MVDR beamforming using single-channel mask prediction networks

    Hakan Erdogan;John R. Hershey;Shinji Watanabe;Michael I. Mandel

  • Semantic language modeling and confidence measurement

    Mark E. Epstein;Hakan Erdogan;Yuqing Gao;Michael A. Picheny

  • Deep beamforming networks for multi-channel speech recognition

    Xiong Xiao;Shinji Watanabe;Hakan Erdogan;Liang Lu

  • Speech enhancement and recognition using multi-task learning of long short-term memory recurrent neural networks

    Zhuo Chen;Zhuo Chen;Shinji Watanabe;Hakan Erdogan;Hakan Erdogan;John R. Hershey

  • Universal Sound Separation

    Ilya Kavalerov;Scott Wisdom;Hakan Erdogan;Brian Patton

  • Deep neural networks for single channel source separation

    Emad Mounir Grais;Mehmet Umut Şen;Hakan Erdoğan

  • Methods and apparatus for conversational name dialing systems

    Yuqing Gao;Bhuvana Ramabhadran;Chengjun Julian Chen;Hakan Erdogan

  • Multi-Channel Overlapped Speech Recognition with Location Guided Speech Extraction Network

    Zhuo Chen;Xiong Xiao;Takuya Yoshioka;Hakan Erdogan

  • Multi-Microphone Neural Speech Separation for Far-Field Multi-Talker Speech Recognition

    Takuya Yoshioka;Hakan Erdogan;Zhuo Chen;Fil Alleva

  • A paraboloidal surrogates algorithm for convergent penalized-likelihood emission image reconstruction

    J.A. Fessler;H. Erdogan

  • Unsupervised Sound Separation Using Mixture Invariant Training

    Scott Wisdom;Efthymios Tzinis;Hakan Erdogan;Ron J. Weiss

  • A* orthogonal matching pursuit: Best-first search for compressed sensing signal recovery

    Nazim Burak Karahanoglu;Hakan Erdogan

  • Single channel speech music separation using nonnegative matrix factorization and spectral masks

    Emad M. Grais;Hakan Erdogan

  • Deep long short-term memory adaptive beamforming networks for multichannel robust speech recognition

    Zhong Meng;Shinji Watanabe;John R. Hershey;Hakan Erdogan

  • Recognizing Overlapped Speech in Meetings: A Multichannel Separation Approach Using Neural Networks.

    Takuya Yoshioka;Hakan Erdogan;Zhuo Chen;Xiong Xiao

Frequent Co-Authors

John R. Hershey
John R. Hershey Google (United States)
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Ruhi Sarikaya
Ruhi Sarikaya Amazon (United States)
Jeffrey A. Fessler
Jeffrey A. Fessler University of Michigan–Ann Arbor
Jonathan Le Roux
Jonathan Le Roux Mitsubishi Electric (United States)
Michael Picheny
Michael Picheny IBM (United States)
Justin Salamon
Justin Salamon Adobe Systems (United States)
Yucel Altunbasak
Yucel Altunbasak Georgia Institute of Technology
Hazim Kemal Ekenel
Hazim Kemal Ekenel Istanbul Technical University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Interested in expanding your Computer Science knowledge? There is a wide range of online degree options available in the USA to suit different career goals and timeframes. For those looking to fast-track their education, consider exploring the quickest online masters degree programs. These accelerated courses allow you to gain advanced skills and credentials in less time.

If you’re deciding which field to specialize in, reviewing what masters program should i do can help guide your decision based on current job market demands and earning potential. For those at the beginning of their academic journey, an associates degree online provides a solid foundation in core computing skills and can act as a stepping stone to more advanced study.

Affordability is a common concern for many students. Fortunately, there are affordable online courses available from reputable colleges, making quality education in Computer Science more accessible than ever before.

Best Scientists Citing Hakan Erdogan

Trending Scientists

Recently Published Articles