Speech enhancement from noise: A regenerative approach

By Markos N. Dendrinos, S. Bakamidis, G. Carayannis. 1991

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jacob Benesty
2. Jingdong Chen
3. Joan Serrà
4. Yiteng Huang
5. Santiago Pascual
6. Simon Doclo
7. Antonio Bonafonte
8. Marc Moonen

Citations in the corpus

• SEGAN: Speech Enhancement Generative Adversarial Network (2017, methodology): “Classic speech enhancement methods are spectral subtraction [6], Wiener filtering [7], statistical model-based meth-ods [8], and subspace algorithms [9, 10].”
• GSVD-based optimal filtering for single and multimicrophone speech enhancement (2002, methodology): “In all subspace-based single-microphone speech enhancement techniques [7]–[9], [11]–[14], the resulting filter matrix can be written as in (27).”
• New insights into the noise reduction Wiener filter (2006, background): “It can easily be verified that (29) which implies that .”