Speech Recognition Using Long-Span Temporal Patterns in a Deep Network Model

By Sabato Marco Siniscalchi, Dong Yu, Li Deng, Chin-Hui Lee. 2013

33 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. Ossama Abdel-Hamid
4. Hui Jiang
5. Jinyu Li
6. Yoshua Bengio
7. Jianfeng Gao
8. Xiaodong He

In Signal Processing

1. Li Deng
2. Dong Yu
3. Ossama Abdel-Hamid
4. Jinyu Li
5. Hui Jiang
6. Yifan Gong
7. Karol J. Piczak
8. S. Renals

Citations in the corpus

• Exploring convolutional neural network structures and optimization techniques for speech recognition (2013, background): “Recently, deep neural network hidden Markov model (DNN/HMM) hybrid systems achieved remarkable performance in many large vocabulary speech recognition tasks [1, 2, 3, 4, 5, 6, 7].”
• Deep segmental neural networks for speech recognition (2013, background): “Recently, deep-neural-network hidden Markov model (DNN/HMM) hybrid systems have achieved remarkable performance in many large vocabulary speech recognition tasks [1, 2, 3, 4, 5, 6, 7, 8].”