Deep neural network based spectral feature mapping for robust speech recognition

By Kun Han, Yanzhang He, Deblin Bagchi, Eric Fosler-Lussier, Deliang Wang. 2015

66 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

1. Rohit Prabhavalkar
2. Bo Li
3. Lei Xie
4. Chris Donahue
5. Sining Sun
6. Fei Xiang
7. Junbo Zhang
8. Yujun Wang

In Signal Processing

1. Bo Li
2. Rohit Prabhavalkar
3. Lei Xie
4. Chris Donahue
5. Sining Sun
6. Fei Xiang
7. Junbo Zhang
8. Yujun Wang

Citations in the corpus

• Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition (2017, methodology): “While deep learning has previously been applied to SFM for ASR [17, 18, 19], our work is the first to use GANs for this task.”
• Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition (2018, methodology): “This conclusion is consistent with that in [22], where LPS performs better than MFCC when used as the input of a denoising network.”