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Score normalization for keyword search

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
In this work, keyword search (KWS) is based on a symbolic index that uses posteriorgram representation of the speech data. For each query, sum-to-one normalization or keyword specific thresholding is applied to the search results. The effect of these methods on the proposed KWS system is investigated.
Leda Sari, Murat Saraclar
openaire   +1 more source

Peer-to-peer keyword search using keyword relationship

CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings., 2003
Decentralized and unstructured peer-to-peer (P2P) networks such as Gnutella are attractive for Internet-scale information retrieval and search systems because they require neither any centralized directory nor any centralized management of overlay network topology and data placement.
Kiyohide Nakauchi   +3 more
openaire   +1 more source

Using proxies for OOV keywords in the keyword search task

2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013
We propose a simple but effective weighted finite state transducer (WFST) based framework for handling out-of-vocabulary (OOV) keywords in a speech search task. State-of-the-art large vocabulary continuous speech recognition (LVCSR) and keyword search (KWS) systems are developed for conversational telephone speech in Tagalog. Word-based and phone-based
Guoguo Chen   +4 more
openaire   +1 more source

Oblivious Keyword Search with Authorization

2016
Oblivious keyword search OKS allows a user to search and retrieve the data associated with a chosen keyword in an oblivious way. The database supplier issues a trapdoor used for searching of a specific keyword chosen by the user while learns nothing about this keyword.
Peng Jiang 0007   +4 more
openaire   +2 more sources

Fast multiple keyword searching

1992
A new multiple keyword searching algorithm is presented as a generalization of a fast substring matching algorithm based on an n-gram technique. The expected searching time complexity is shown to be O((N/m+ml) log lm) under reasonable assumptions about the keywords together with the assumption that the text is drawn from a stationary ergodic source ...
Jong Yong Kim, John Shawe-Taylor
openaire   +1 more source

ABDKS: attribute-based encryption with dynamic keyword search in fog computing

Frontiers of Computer Science, 2021
Fei Meng   +2 more
exaly  

Keyword decisions in sponsored search advertising: A literature review and research agenda

Information Processing and Management, 2023
Yanwu Yang, Huiran Li
exaly  

ABKS-SKGA: Attribute-based keyword search secure against keyword guessing attack

Computer Standards and Interfaces, 2021
Jiguo Li, Yang Lu, Yichen Zhang
exaly  

Keyword Search

2008
Shashi Shekhar, Hui Xiong
openaire   +1 more source

VRFMS: Verifiable Ranked Fuzzy Multi-keyword Search over Encrypted Data

IEEE Transactions on Services Computing, 2022
Xinghua Li, Qiuyun Tong, Jinwei Zhao
exaly  

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