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Spoken Term Detection Automatically Adjusted for a Given Threshold
Tzeviya Fuchs, Joseph Keshet
Department of Computer Science
Research output
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Contribution to journal
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Article
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peer-review
8
Scopus citations
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Dive into the research topics of 'Spoken Term Detection Automatically Adjusted for a Given Threshold'. Together they form a unique fingerprint.
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Keyphrases
Spoken Term Detection
100%
Fixed Threshold
75%
Utterance
50%
Loss Function
50%
Detection Threshold
50%
New Loss Function
50%
Positive Instances
25%
Negative Examples
25%
Structured Prediction
25%
Wall Street Journal
25%
Accuracy Rate
25%
Detection Rate
25%
TIMIT
25%
Area under the Curve
25%
Unsupervised Learning
25%
Relative Rank
25%
Switchboard Corpus
25%
Template-based
25%
Siamese Network
25%
Ranking Score
25%
Spotting Algorithm
25%
Single Threshold
25%
Deep Neural
25%
User-defined Keyword Spotting
25%
Computer Science
Detection Threshold
100%
Positive Example
50%
Detection Accuracy
50%
Negative Example
50%
Siamese Neural Network
50%
Mathematics
Loss Function
100%
Wall Street Journal
25%