Speech intelligibility in reverberation with ideal binary masking: effects of early reflections and signal-to-noise ratio threshold.

By Nicoleta Roman, John F. Woodruff. 2013

53 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, 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 Biomedical Engineering

1. Deliang Wang
2. Yuxuan Wang

In Cognitive Neuroscience

1. Deliang Wang
2. Yuxuan Wang
3. Kun Han
4. Zhang Tao
5. William S. Woods
6. Ivo Merks
7. Donald S. Williamson
8. Zhong-Qiu Wang

In Signal Processing

1. Deliang Wang
2. Yuxuan Wang
3. Kun Han
4. Arun Narayanan
5. Zhang Tao
6. William S. Woods
7. Ivo Merks
8. Ke Tan

Citations in the corpus

• Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising (2017, neutral): “Roman and Woodruff [34] show that reverberation combined with additive noise can be detrimental to the speech intelligibility of normal hearing listeners.”
• Learning Spectral Mapping for Speech Dereverberation and Denoising (2015, methodology): “We also perform dereverberation using the IBM with the relative criterion dB suggested in [32].”