Annotation–mining for rhythm model com
نویسندگان
چکیده
Speech rhythm has been investigated from phonetic, phonological and signal processing perspectives, leading to a wide range of non–comparable methodologies. We assume that this is because speech rhythm is an emergent phenomenon (Emergent Rhythm Theory), due to many ‘hidden’ physiological and other factors, and that specialists make different selections from these factors. We also claim that models proposed so far are relatively arbitrary, and that their formal and empirical similarities and differences are not clarified. Although we accept Emergent Rhythm Theory, we acknowledge that it is currently too complex and inexplicit to be falsifiable, and concentrate on more highly constrained Physical Rhythm Theory approaches. We propose a set of explicanda for Physical Rhythm Theories, and formally and empirically compare selected single–parameter physical rhythm measures. We find that the selected measures show a very low degree of similarity and outline the steps necessary to improve the situation.
منابع مشابه
Fuzzy Neighbor Voting for Automatic Image Annotation
With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...
متن کاملA Semantic Model for Multimodal Data Mining in Healthcare Information Systems
-Electronic health records (EHRs) are representative examples of multimodal/multisource data collections; including measurements, images and free texts. The diversity of such information sources and the increasing amounts of medical data produced by healthcare institutes annually, pose significant challenges in data mining. In this paper we present a novel semantic model that describes knowledg...
متن کاملA CAD System Framework for the Automatic Diagnosis and Annotation of Histological and Bone Marrow Images
Due to ever increasing of medical images data in the world’s medical centers and recent developments in hardware and technology of medical imaging, necessity of medical data software analysis is needed. Equipping medical science with intelligent tools in diagnosis and treatment of illnesses has resulted in reduction of physicians’ errors and physical and financial damages. In this article we pr...
متن کاملAn Efficient Query Mining Framework Using Spatial Hidden Markov Models for Automatic Annotation of Images
A novel method for automatic annotation of images is used with keywords from a generic vocabulary of concepts or objects combined with annotation-based retrieval of images. This can be done by using spatial hidden Markov model, in which states represent concepts. The parameters of this model are estimated from a set of manually annotated training images. An image in a large test collection is t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005