Model-Based Approaches to Handling Uncertainty

By Mark John Francis Gales. 2011

26 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. Keikichi Hirose
7. Yosuke Kashiwagi
8. Daisuke Saito

Citations in the corpus

• Deep Learning: Methods and Applications (2014, background): “See a comprehensive review in [220] and some additional review literature or original work in [4, 82, 119, 140, 230, 370, 404, 431, 444].”
• Discriminative piecewise linear transformation based on deep learning for noise robust automatic speech recognition (2013, methodology): “…as In SPLICE, GMMs are adopted to model the probability p ( y ) of the noisy speech features as follows Therefore, posterior p ( i y t ) is calculated as " Equation 14 shows that the GMMs in SPLICE are trained only with noisy features available in the training phase and used as they are…”