منابع مشابه
Statistical feature language model
Statistical language models are widely used in automatic speech recognition in order to constrain the decoding of a sentence. Most of these models derive from the classical n-gram paradigm. However, the production of a word depends on a large set of linguistic features : lexical, syntactic, semantic, etc. Moreover, in some natural languages the gender and number of the left context affect the p...
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Purpose: To assess three main emotions (happy, sad and calm) by various classifiers, using appropriate feature extraction and feature selection. Materials and Methods: In this study a combination of Power Spectral Density and a series of statistical features are proposed as statistical-frequency features. Next, a feature selection method from pattern recognition (PR) Tools is presented to e...
متن کاملarchitecture and engineering of nanoscale sculptured thin films and determination of their properties
چکیده ندارد.
15 صفحه اولThe rational skimming theorem
We define the notion of K-covering of automata with multiplicity (in a semiring K) that extend the one of covering of automata. We make use of this notion, together with the Schützenberger construct that we have explained in a previous work and that we briefly recall here, in order to give a direct and constructive proof of a fundamental theorem on N-rational power series. In a previous work (c...
متن کاملInteractively Skimming Recorded Speech
Listening to a speech recording is much more difficult than visually scanning a document because of the transient and temporal nature of audio. Audio recordings capture the richness of speech, yet it is difficult to directly browse the stored information. This dissertation investigates techniques for structuring, filtering, and presenting recorded speech, allowing a user to navigate and interac...
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ژورنال
عنوان ژورنال: International Journal of Digital Multimedia Broadcasting
سال: 2010
ISSN: 1687-7578,1687-7586
DOI: 10.1155/2010/709161