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In this paper a novel methodology for indexing domain specific audio archives using linguistic information present in the speech signal is discussed. The audio indexing system is phone based and can work under limited training data conditions. A training data set that captures the linguistic information within Hindi language at the syllable level is first developed. A reduced phone set is then derived...
Non-governmental organizations (NGOs) working in disadvantaged communities have a variety of data-collection and analysis needs, for example, for performing surveys or monitoring programs. Because much of this data collection occurs in environments with insufficient IT support and infrastructure, and among populations not always comfortable with technology, paper forms rather than electronic methods...
As adoption of system-level hardware design is increasing in industry and academia, accurate power estimation at this level is becoming important. In this paper, we present a system-level power estimation methodology, which is based on a high-level synthesis framework and supports sufficiently accurate power estimation of hardware designs at the system-level. For early and accurate power estimation,...
This study discusses the capability of full polarimetric L-band ALOS PALSAR data for snow classification. In this study, Polarimetric decomposition and the complex Wishart classifier are applied on ALOS-PALSAR data. Optical (ALOS-AVNIR) data within six days difference was used for visual interpretation of snow and non-snow classes. Application of Entropy-Anistropy-Alpha-Wishart classifier for training...
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