Shang-wen Li

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The increasing popularity of Massive Open Online Courses (MOOCs) has resulted in huge number of courses available over the Internet. Typically, a learner can type a search query into the look-up window of a MOOC platform and receive a set of course suggestions. But it is difficult for the learner to select lectures out of those suggested courses and learn(More)
We propose a method to enhance multi-stream Gabor and MFCC features using data-driven hierarchical phoneme clusters to yield more discriminating posteriors. We take into account different hierarchy structures, and in addition perform mean and variance normalization. A relative improvement of 11.5% over the conventional MFCC Tandem system was achieved in(More)
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