Discriminative piecewise linear transformation based on deep learning for noise robust automatic speech recognition

By Yosuke Kashiwagi, Daisuke Saito, Nobuaki Minematsu, Keikichi Hirose. 2013

8 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. Li Deng
2. Dong Yu
3. Jinyu Li
4. Yoshua Bengio
5. Xiaodong He
6. Jianfeng Gao
7. Frank Torsten Bernd Seide
8. Yifan Gong

In Signal Processing

1. Li Deng
2. Dong Yu
3. Jinyu Li
4. Yifan Gong
5. Frank Torsten Bernd Seide
6. Yoshua Bengio
7. S. Renals
8. M. Seltzer

Citations in the corpus

• Deep Learning: Methods and Applications (2014, methodology): “[191] applied the SPLICE feature enhancement technique [82] to a DNN speech recognizer.”