DeLiang Wang
Computer Science · The Ohio State University
Publications
457
Citations
25,269
Est. group size
~7
Recurring co-author estimate
Active years
36
Publishing since 1990
DeLiang Wang works on computer methods for processing speech and audio, including separating overlapping talkers, removing background noise and echo, and improving automatic speech recognition in noisy or reverberant environments. Much of the recent work applies deep learning and neural network models to these audio processing tasks, such as speaker separation, speech enhancement, and echo cancellation, often for multi-microphone (multi-channel) setups.
Publication output was relatively high and steady from 2017-2022 (around 18-30 papers/year) but has declined somewhat in 2023-2025 to roughly 12-14 papers/year.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A Speech Prediction Model Based on Codec Modeling and Transformer Decoding
SSRN Electronic Journal · 2025
- A speech prediction model based on codec modeling and transformer decoding
Computer Speech & Language · 2025
- Talker-Independent Multi-Pitch Tracking in Noisy and Reverberant Scenarios
SSRN Electronic Journal · 2025
- AI-Generated Visual Content in Education: A Systematic Review of the Past Decade
SSRN Electronic Journal · 2025
- Multi-Channel Conversational Speaker Separation via Neural Diarization
IEEE/ACM Transactions on Audio Speech and Language Processing · 2024
- Towards Decoupling Frontend Enhancement and Backend Recognition in Monaural Robust ASR
arXiv (Cornell University) · 2024
- Leveraging laryngograph data for robust voicing detection in speech
The Journal of the Acoustical Society of America · 2024
- Research on Route Selection of Low-carbon Multimodal Transport Based on Mentor-Assisted Evolutionary Algorithm
2024
- Cross-Domain Diffusion Based Speech Enhancement for Very Noisy Speech
2023
- Time-Domain Speech Enhancement for Robust Automatic Speech Recognition
2023
- Neuralkalman: A Learnable Kalman Filter for Acoustic Echo Cancellation
2023
- Multi-Resolution Location-Based Training for Multi-Channel Continuous Speech Separation
2023
- DATA2VEC-SG: Improving Self-Supervised Learning Representations for Speech Generation Tasks
2023
- Multi-resolution location-based training for multi-channel continuous speech separation
arXiv (Cornell University) · 2023
- Multi-channel Conversational Speaker Separation via Neural Diarization
arXiv (Cornell University) · 2023
- IEEE/ACM Transactions on Audio Speech and Language Processing×39
- arXiv (Cornell University)×30
- The Journal of the Acoustical Society of America×23
- ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)×9
- Computer Speech & Language×5
- Hassan Taherian
Computer Science · The Ohio State University
- Donald S. Williamson
Computer Science · Indiana University
- Vahid Ahmadi Kalkhorani
Computer Science · The Ohio State University
- Heming Wang
Computer Science · The Ohio State University
- Ashutosh Pandey
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile