A Perceptually Inspired Data Augmentation Method for Noise Robust CNN Acoustic Models

By László Tóth, György Kovács, Dirk Van Compernolle. 2018

20 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Speech & Audio, 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

1. Yu Zhang
2. Quoc V. Le
3. Chung-Cheng Chiu
4. Ekin Dogus Cubuk
5. William Chan
6. Barret Zoph
7. Yonghui Wu
8. Jinyu Li

In Speech & Audio

1. Yu Zhang
2. Chung-Cheng Chiu
3. Quoc V. Le
4. William Chan
5. Daniel S. Park
6. Yonghui Wu
7. Gabriel Synnaeve
8. Jinyu Li

In Signal Processing

1. Yu Zhang
2. Chung-Cheng Chiu
3. Quoc V. Le
4. William Chan
5. Yonghui Wu
6. Daniel S. Park
7. Tara N. Sainath
8. Jinyu Li

Citations in the corpus

• SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition (2019, methodology): “We also thank György Kovács for introducing us to the works [49, 50].”