Discriminatively estimated joint acoustic, duration, and language model for speech recognition

By Maider Lehr, Izhak Shafran. 2010

26 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Speech & Audio

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. Yoshua Bengio
4. Jianfeng Gao
5. Xiaodong He
6. Mohit Bansal
7. Abdel-rahman Mohamed
8. Quoc V. Le

In Speech & Audio

1. Li Deng
2. Dong Yu
3. Abdel-rahman Mohamed
4. Xiaodong He
5. Geoffrey E. Hinton
6. Jinyu Li
7. Alex Graves
8. Tara N. Sainath

Citations in the corpus

• Speech recognition with deep recurrent neural networks (2013, background): “Joint LM-acoustic training has proved beneficial in the past for speech recognition [20, 21].”
• Optimization in speech-centric information processing: Criteria and techniques (2012, methodology): “The complexity of the end-to-end optimization task requires careful optimization techniques [3,4,19,20].”