Yi Su

Yi Su
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Main area of research
Speech recognition

Yi Su is a computer scientist (BE’00, Tsinghua)-turned electrical engineer (MSE’04, PhD’09, Johns Hopkins). He is interested in statistical modeling of human intelligence as exemplified in the use of language and speech.

Selected articles

Full-Rank Linear-Chain NeuroCRF for Sequence Labeling

Inspired by the success of deep neural network-hidden Markov model (DNN-HMM) in acoustic modeling for automatic speech recognition, a number of researchers from various fields

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Language Model Adaptation Using Random Forests

In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts

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Bayesian class-based language models

By capturing the intuition of “similar words appear in similar context”, the Class-based Language Model (CLM) has found success from research projects to business products.

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