Evaluation of objective measures for speech enhancement

By Y. Hu, P. Loizou. 2006

217 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

1. P. Loizou
2. Y. Hu
3. Deliang Wang
4. Yuxuan Wang
5. Gibak Kim
6. Donald S. Williamson
7. Nicoleta Roman
8. John F. Woodruff

In Computational Mechanics

1. P. Loizou
2. Y. Hu
3. Jordi Pons
4. Xavier Serra
5. Deliang Wang
6. Gibak Kim
7. Yuxuan Wang
8. Ross Cutler

In Signal Processing

1. Y. Hu
2. P. Loizou
3. Jordi Pons
4. Xavier Serra
5. Dario Rethage
6. Vassilis Tsiaras
7. Yannis Stylianou
8. Yannis Pantazis

Citations in the corpus

• A Wavenet for Speech Denoising (2017, background): “Participants were able to give a score between 1–5, with a 1 being described as “degraded speech with very intrusive background” and a 5 being “not degraded speech with unnoticeable background” [21].”
• Speech Enhancement for Noise-Robust Speech Synthesis Using Wasserstein GAN (2019, background): “The composite measure for background interferences (CBAK) and the overall composite measure (COVL) (from 1 to 5) predicts the extent of background noise suppression in the speech and the overall effect, respectively [24].”
• Evaluation of Objective Quality Measures for Speech Enhancement (2008, methodology): “In Section III, we present the objective measures evaluated and in Section IV we present the resulting correlation coefficients.”