Keyword Spotting
Morphological Segmentation for Keyword Spotting
... Despite this potential promise, state-of-the-art KWS systems do not commonly use morphologi- cal information. This surprising fact can be due to multiple reasons, ranging from the accuracy of ex- isting morphological ...
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Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback
... Document Image Retrieval System (DIRS) based on keyword spotting performs matching process directly on data images using word-images as queries. It usually compares common features, such as width to height ...
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Keyword Spotting in Scanned Images of Historical Handwritten Devanagri Documents
... In keyword spotting, all occurrences of a query keyword image are retrieved from scanned document ...of spotting words from handwritten documents is difficult due to its huge changeability in ...
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Keyword Spotting in Images Using Convolutional Neural Network
... Learning-Free Keyword Spotting”, George, Georgis, Nikolas, Basilis (Issue 2018) [1] This paper is proposed to spot the keywords using the OCR technique and by using the binarization technique to enhance the ...
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Performance Improvement in Keyword Spotting for Telephony Services
... Support Vector Machines represent a new approach to pattern classification developed from the theory of structural risk minimization [17]. It is a machine learning technique proposed by Vapnik (1995) to solve two class ...
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Keyword Spotting with Long Short term Memory Neural Network Architectures
... In recent years, deep learning was widely applied in speech recognition. Typically, Deep neutral network (DNN) models [1], which realize the speech recognition by calculating the emission probability of HMM model in its ...
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Honkling: In Browser Personalization for Ubiquitous Keyword Spotting
... of keyword spotting (KWS) is to detect the presence of specific phrases in a stream of au- dio, often with the end goal of wake-word detec- tion or simple command recognition on the ...
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Textual Emotion Detection Using Emotion Detector Algorithm
... The keyword spotting technique can be described as the problem of finding occurrences of keywords (love, anger, joy, Sadness, surprise and fear) from a given text ...
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Wavelet – Neural Data Mining Approach for Spoken
... Spoken keyword spotting is a very crucial and promising branch in speech mining and it is useful to retrieve the speech files which enclose the words associated with an application-specific domain ...etc. ...
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Text and Voice Input to Emotional Analysis for AI Clients
... class. Keyword spotting technique consists of five ...the keyword definitions in the context that a word can have different meanings according to ...
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A Hybrid Model for Automatic Emotion Recognition in Suicide Notes
... the keyword spotting method are incapable of recognizing these sentences that carry affect through underlying meaning, rather than through surface ...
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Script Independent Word Spotting in Multilingual Documents
... word spotting in multilingual handwritten and machine printed ...for keyword spotting which stores the mapping of a keyword string to its correspond- ing word image which is used for ...
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A Study on the Impact of Tensile Fabric Structure in Semi-Outdoor Spaces of Tropical Cities
... the keyword spotting task in historical documents which consists in retrieving information from documents based on a keyword ...searched keyword or by-string by providing the searched ...
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A Survey on Identification of Emotion from Text Corpus
... The keyword-based methods with thesaurus and naive learning-based methods could not acquire satisfactory ...both keyword spotting technique and learning based method, which help to improve ...of ...
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Analysis of Mixed Natural and Symbolic Input in Mathematical Dialogs
... An investigation of the corpus reveals various phenomena that present challenges for such input understanding techniques as shallow syntactic analysis combined with keyword spotting, or [r] ...
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A Survey on Various Word Spotting Techniques for Content Based Document Image Retrieval
... using keyword spotting or simply word spotting which gives better results as well is less complex than ...word spotting techniques for document ...
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DNA-nanostructure-assembly by sequential spotting
... out. To achieve the same chemical properties as they are needed for the nanostructural approach, the glass slides were silanized, biotinylated and functionalized with neutravidin. This is the same design as ...
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A Survey on Keyword Diversification Over XML Data
... Ambiguity is an inherent property of keyword queries. It will be very difficult to derive the search intentions of a keyword query if it contains a small number of keywords. To address this challenging ...
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Detecting Speculations and their Scopes in Scientific Text
... pus were included from the Genia corpus (Col- lier et al., 1999). The full text papers consist of five articles from the FlyBase data set and four articles from the open access BMC Bioinformat- ics website. The sentences ...
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STUDIES ON SPOTTING PATTERNS III. INTERACTION BETWEEN GENES AFFECTING WHITE SPOTTING AND THOSE AFFECTING COLOR IN THE HOUSE MOUSE
... From the yellow offspring of this generation both A %WwSS (anaemic producers) and A %zwwSS (non-producers of anaemic off spring) were backcrossed again to the black var[r] ...
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