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视频信息

标题:Unsupervised Acoustic Modeling for Spoken LanguageApplications
主讲人:Tan Lee 副教授 (香港中文大学) 主办单位: 讲座时间:0000-00-00 00:00:00
简 介:
						

Acoustic modeling is animportant problem in many spoken language applications. It aims at providing compact yet accurate statistical representations for a set of sub-word units. Conventional acoustic modeling is a highly supervised process that requires plenty of speech data with transcriptions. Such resources may not be available for many languages and in many real-world situations. In this lecture, a new framework of unsupervised acoustic modeling is presented. Different types of posterior features are proposed as segment representations. Spectral clustering algorithms are applied to group short speech segments into phone-like units.The resulted acoustic models can be used in many spoken language applications,including spoken term detection, language recognition, and topic identification.