Probabilistic Template-Based Chord Recognition

By Laurent Oudre, Cédric Févotte, Y. Grenier. 2011

24 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, 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 Computer Vision and Pattern Recognition

1. Li Deng
2. Dong Yu
3. Xiaodong He
4. Jianfeng Gao
5. Luc Van Gool
6. Trevor Darrell
7. Dacheng Tao
8. Xiaogang Wang

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, background): “Experimental results show that the RNN-based automatic chord recognition system is competitive with existing state-ofthe-art approaches [275].”