Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
The problem of distributed average consensus with quantized data is considered in this correspondence. Conventional consensus algorithms suffer from divergence when quantization er...
Abstract. This paper examines technology developed to support largescale distributed digital libraries. We describe the method used for harvesting collection information using stan...
A binaural algorithm to simultaneously detect the azimuth angle and the pitch of the sound source is proposed in this paper. This algorithm is extended from the stereausis model w...
In this paper, we investigate the use of bilingual parsing on parallel corpora to better estimate the rule parameters in a formal syntax-based machine translation system, which ar...