Babble Noise: Modeling, Analysis, and Applications
By Nitish Krishnamurthy, John H. L. Hansen. 2009
80 citations recorded by the source corpus.
Subfields: Artificial Intelligence, 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 Artificial Intelligence
- Yossi Adi
- Gabriel Synnaeve
- Alexandre D'efossez
- Jinwon Lee
- Se Rim Park
- Wei-Ning Hsu
- Ronan Collobert
- Emmanuel Dupoux
In Signal Processing
- Yossi Adi
- Gabriel Synnaeve
- Alexandre D'efossez
- Jinwon Lee
- Se Rim Park
- Wei-Ning Hsu
- Ronan Collobert
- Jade Copet
Citations in the corpus
- Real Time Speech Enhancement in the Waveform Domain (2020, background): “The presence of such noise types degrades hearing intelligibility of human speech greatly [6].”
- A Fully Convolutional Neural Network for Speech Enhancement (2016, background): “When babble noise dominates over speech, aforementioned methods often times will fail to find the correct noise model [6].”