World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6590
World Ranking
11129
National Ranking
4619

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to audio signal processing systems and algorithms for commercial microphone arrays

Overview

Ivan Tashev is a researcher affiliated with Microsoft in the United States. Their work primarily spans the fields of Computer Science and Engineering, with a particular focus on Signal Processing and related subfields such as Computational Mechanics, Cognitive Neuroscience, Artificial Intelligence, and Human-Computer Interaction.

The primary topics of Tashev's research include Speech and Audio Processing, Advanced Adaptive Filtering Techniques, Traditional Chinese Medicine Studies, Linguistics and Cultural Studies, Blind Source Separation Techniques, EEG and Brain-Computer Interfaces, as well as Gaze Tracking and Assistive Technology.

Some of the recent papers authored or co-authored by Ivan Tashev are:

  • Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement (2020), published in arXiv (Cornell University)
  • Data Augmentation and Loss Normalization for Deep Noise Suppression (2020), published in Lecture notes in computer science
  • Evaluating the Feasibility of Visual Imagery for an EEG-Based Brain-Computer Interface (2024), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • TongueTap: Multimodal Tongue Gesture Recognition with Head-Worn Devices (2023), published in INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  • Data Science Education: The Signal Processing Perspective [SP Education] (2023), published in IEEE Signal Processing Magazine

Tashev has collaborated frequently with several researchers, including Sebastian Braun, Tan Gemicioglu, R. Michael Winters, Yu-Te Wang, and Thomas M. Gable. These collaborations indicate a network of co-authors who have contributed to advancing research in related fields.

The venues where Tashev's work has been published include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Lecture notes in computer science
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

In 2021, Ivan Tashev was recognized as an IEEE Fellow. This recognition was awarded for contributions to audio signal processing systems and algorithms designed for commercial microphone arrays.

Best Publications

  • Speech emotion recognition using deep neural network and extreme learning machine.

    Kun Han;Dong Yu;Ivan Tashev

  • Systems and methods for novel real-time audio-visual communication and data collaboration

    Eric Rudolph;Yong Rui;Henrique Malvar;Li-wei He

  • High-level feature representation using recurrent neural network for speech emotion recognition.

    Jinkyu Lee;Ivan Tashev

  • Distributed meetings: a meeting capture and broadcasting system

    Ross Cutler;Yong Rui;Anoop Gupta;JJ Cadiz

  • SYSTEM AND METHOD FOR BEAM FORMATION USING MICROPHONE GRID

    Mal Var Ehnrike S;Tashev Ivan

  • Sound Capture and Processing: Practical Approaches

    Ivan Jelev Tashev

  • Convolutional-Recurrent Neural Networks for Speech Enhancement

    Han Zhao;Shuayb Zarar;Ivan Tashev;Chin-Hui Lee

  • Multichannel acoustic echo reduction

    Ivan Jelev Tashev;Alejandro Acero;Nilesh Madhu

  • Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement

    Yangyang Xia;Sebastian Braun;Chandan K. A. Reddy;Harishchandra Dubey

  • Word-dependent language model

    Yun-Cheng Ju;Ivan J. Tashev;Chad R. Heinemann

  • Social network based routes

    Neil W. Black;John C. Krumm;Ruston Panabaker;Jeffrey D. Couckuyt

  • Integrated design for omni-directional camera and microphone array

    Ross Cutler;Ivan Tashev;Yong Rui;Anoop Gupta

  • Non-intrusive Speech Quality Assessment Using Neural Networks

    Anderson R. Avila;Hannes Gamper;Chandan Reddy;Ross Cutler

  • Learning utterance-level representations for speech emotion and age/gender recognition using deep neural networks

    Zhong-Qiu Wang;Ivan Tashev

  • Robust adaptive beamforming with enhanced noise suppression

    Ivan Tashev;Alejandro Acero;Byung-Jun Yoon

  • HRTF magnitude synthesis via sparse representation of anthropometric features

    Piotr Tadeusz Bilinski;Jens Ahrens;Mark R. P. Thomas;Ivan Tashev

  • Route-based activity planner

    Michael Lewis Seltzer;Neil W. Black;Jeffrey D. Couckuyt;Ivan J. Tashev

  • Towards Efficient Models for Real-Time Deep Noise Suppression

    Sebastian Braun;Hannes Gamper;Chandan K.A. Reddy;Ivan Tashev

  • Localization of mobile computing devices in indoor environments

    Sharad Agarwal;Ivan Tashev;Paramvir Bahl;Ionut Constandache

  • Blind Reverberation Time Estimation Using a Convolutional Neural Network

    Hannes Gamper;Ivan J. Tashev

  • Sound Capture and Processing

    Ivan Jelev Tashev

Frequent Co-Authors

Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
John Krumm
John Krumm Microsoft (United States)
Alejandro Acero
Alejandro Acero Apple (United States)
Ross Cutler
Ross Cutler Microsoft (United States)
Henrique S. Malvar
Henrique S. Malvar Microsoft (United States)
Yong Rui
Yong Rui Lenovo (China)
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Patrick A. Naylor
Patrick A. Naylor Imperial College London

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

Exploring online degrees in Computer Science and related fields offers flexibility and diverse career opportunities. Many universities now provide accelerated options, allowing students to complete a 1 year computer science degree online—a fast track to upskilling or switching careers.

For students concerned about academic history, there are will grad schools accept low gpa options. Many respected institutions offer academic pathways for those with lower GPAs, keeping advanced study accessible.

If your interests blend technology and the environment, environmental engineering degrees online can connect you to roles focused on sustainable solutions. These degrees are often structured to be affordable, making education more attainable.

Graduates from these and similar online programs can move into a variety of high-demand fields. Notably, there are many high-paying jobs with environmental science degree backgrounds, as environmental challenges and technology continue to intersect across industries.

Best Scientists Citing Ivan Tashev

Trending Scientists

Recently Published Articles