Equalization in an acoustic reverberant environment: robustness results
By Biljana D. Radlovic, Robert C. Williamson, Rodney A. Kennedy. 2000
141 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computational Mechanics, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Deliang Wang
- Zhaozhang Jin
- Yuxuan Wang
- Xiao-Lei Zhang
- Kun Han
- Donald S. Williamson
- DeLiang Wang
- Ke Tan
In Computational Mechanics
- Deliang Wang
- Zhaozhang Jin
- Yuxuan Wang
- Ke Tan
- Kun Han
- Donald S. Williamson
- Xiao-Lei Zhang
- Yuzhou Liu
In Signal Processing
Citations in the corpus
- Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising (2017, neutral): “It should also be noted that inverse filtering is fundamentally sensitive to RIRs, which strongly limits the robustness of this approach [20], [32].”
- A Supervised Learning Approach to Monaural Segregation of Reverberant Speech (2009, methodology): “A new segmentation method is proposed to achieve reliable estimation of auditory segments, which helps combine grouping cues.”