上传人：admin
上传时间：2017-10-23
视频描述：
[主讲人: Tan Lee 副教授 (香港中文大学)] [时间: 0000-00-00 00:00:00]
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.
分享
直播
专栏
