Cross-lingual speech recognition under runtime resource constraints

By Dong Yu, Li Deng, Peng Liu, Jian Wu, Yifan Gong, A. Acero. 2009

22 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. Jinyu Li
2. Dong Yu
3. Li Deng
4. Yifan Gong
5. Jui-Ting Huang
6. Yoshua Bengio
7. S. Renals
8. M. Seltzer

In Signal Processing

1. Jinyu Li
2. Dong Yu
3. Li Deng
4. Yifan Gong
5. Jui-Ting Huang
6. S. Renals
7. M. Seltzer
8. Chin-Hui Lee

Citations in the corpus

• Deep Learning: Methods and Applications (2014, methodology): “Another successful approach for the GMM–HMM is to map pronunciation units across languages either via knowledge-based or data-driven methods [420].”
• Machine Learning Paradigms for Speech Recognition: An Overview (2013, unknown): “via knowledge-based or data-driven methods [234].”
• Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers (2013, methodology): “, the IPA universal phone set [15][16]) or by data-driven clustering [15][16][17][18].”