Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Fuliang Weng"'
Publikováno v:
2022 IEEE International Conference on Knowledge Graph (ICKG).
Publikováno v:
2022 IEEE International Conference on Knowledge Graph (ICKG).
Autor:
Larry Heck, Stanley Peters, Pongtep Angkititrakul, Fuliang Weng, John H. L. Hansen, Elizabeth Shriberg
Publikováno v:
IEEE Signal Processing Magazine. 33:49-60
Automotive technology rapidly advances with increasing connectivity and automation. These advancements aim to assist safe driving and improve user travel experience. Before the realization of a full automation, in-vehicle dialog systems may reduce th
Publikováno v:
ACM Transactions on Asian Language Information Processing. 1:123-144
This article presents an approach for parsing natural language queries that integrates multiple subparsers and subgrammars, in contrast to the traditional single grammar and parser approach. In using LR(k) parsers for natural language processing, we
Publikováno v:
Speech Communication. 37:133-158
Over the last few years, the DARPA-sponsored Hub-4 continuous speech recognition evaluations have advanced speech recognition technology for automatic transcription of broadcast news. In this paper, we report on our research and progress in this doma
Publikováno v:
ICASSP
A finger-written, camera-based, hand gesture recognition framework for English letters in an in-vehicle environment based on Hidden Markov models is proposed. Due to the nature of the constrained hand-movement situations on the steering column, we ar
Publikováno v:
ICASSP
We propose two very effective high-level binary-class features to enhance model-based skin color detection. First we find that the log likelihood ratio of the testing data between skin and non-skin RGB models can be a good discriminative feature. We
Autor:
Fuliang Weng, Feng Lin
Publikováno v:
SLT
One of the main challenges in the development of robust dialog systems is to deal with noisy input due to imperfect results from any speech recognition module. A key step in addressing this noisy input is the computation of confidence for the portion
Publikováno v:
NLPKE
Identification of non-anaphoric anaphora is an important step towards a full anaphora resolution. In this paper, we present an automatic identification approach for this task. In our work, some novel features are proposed, which are based on dependen
Publikováno v:
INTERSPEECH