This study aims at investigating procedures of semantic and linguistic extraction keywords from metadata documents indexed in the Institutional Repository Unesp. For that purpose, a web crawler was developed, collected 325.181 authors, all fields knowledge, February 28th, 2013 to November 10th, 2021. The preparation collection, analysis environment used Python programming language, composed thr...

We propose a technique for generating alternative models for keywords in a hybrid hidden Markov model artificial neural network (HMM-ANN) keyword spotting paradigm. Given a base pronunciation for a keyword from the lookup dictionary, our algorithm generates a new model for a keyword which takes into account the systematic errors made by the neural network and avoiding those models that can be c...

The importance of supporting keyword searches on XML data has been widely recognized. Different from structured queries, keyword searches are inherently ambiguous due to the inability/unwillingness of users to specify pinpoint semantics. As a result, processing keyword searches involves many unique challenges. In this paper we discuss the motivation, desiderata and challenges in supporting keyw...

In this article, we propose an utterance verification technique for keyword spotting. The keyword spotting system analyzes a given spoken content and searches every speech segment in which one of pre-defined keywords is uttered. To maintain a stable recognition performance in the system, we propose an utterance verification technique that verifies whether a found utterance, or a candidate keywo...

Recently, Attribute-Based Encryption (ABE) is used as a baseline technology for keyword searching mechanisms to cater users’ security and privacy-related concerns who outsource their data the powerful resource-rich cloud server. Almost all existing Keyword Searching (ABKS) schemes either operate on single-keyword or multiple; conjunctive-keyword search setting. These work premise of an “all-or-...

Image representation schemes designed for image retrieval systems are categorized into two classes: Keyword (text) features and Visual features. The query scenario in image retrieval system based on keyword features (Chang and Hsu 1992 ; Shen et al 2000) is Query by Keyword (QBK). Semantics of images can be accurately represented by keywords, as long as keyword annotations are accurate and comp...

The three ICSI systems involved in the evaluations are the keyword HMM supervector system [1], the GMM supervector system, and the keyword phone lattice N-grams system [2], which we enhanced by including prosodic N-grams. Descriptions of the keyword HMM supervector and keyword phone lattice Ngrams + prosodic N-grams systems will be discussed in sections 3 and 4. A description of the GMM superve...

This paper proposes an efficient anti-keyword derivation method to improve the rejection performance of keyword spotting. In this method, each anti-keyword is derived from the large vocabulary lexicon considering acoustic similarity to keywords, making use of the confusion matrix. Experimental results show that a 3 % improvement of the rejection rate is obtained compared to conventional methods...

In this paper we show that keyword variation of a morphologically complex language, Finnish, can be handled effectively for IR purposes by generating only the textually most frequent forms of the keyword. Theoretically Finnish nouns have about 2,000 different forms, but occurrences of most of the forms are rare. Corpus statistics showed that about 84 – 88 per cent of the occurrences of inflecte...