AUC optimization based confidence measure for keyword spotting

2011 ◽  
Author(s):  
Haiyang Li ◽  
Jiqing Han ◽  
Tieran Zheng
Keyword(s):  
Keyword Spotting ◽  
Confidence Measure ◽  
Auc Optimization

A New SVM Kernel for Keyword Spotting Using Confidence Measures

2015 ◽  
Vol 24 (03) ◽  
pp. 1550010 ◽  
Author(s):  
Yassine Ben Ayed
Keyword(s):  
Support Vector Machines ◽  
Hidden Markov ◽  
Support Vector ◽  
Svm Classifier ◽  
Keyword Spotting ◽  
Confidence Measure ◽  
Confidence Measures ◽  
Vector Machines ◽  
Harmonic Means ◽  
Speech Recognizer

In this paper, we propose an alternative keyword spotting method relying on confidence measures and support vector machines. Confidence measures are computed from phone information provided by a Hidden Markov Model based speech recognizer. We use three kinds of techniques, i.e., arithmetic, geometric and harmonic means to compute a confidence measure for each word. The acceptance/rejection decision of a word is based on the confidence vector processed by the SVM classifier for which we propose a new Beta kernel. The performance of the proposed SVM classifier is compared with spotting methods based on some confidence means. Experimental results presented in this paper show that the proposed SVM classifier method improves the performances of the keyword spotting system.

Comparison of Multiple System Combination Techniques for Keyword Spotting

2016 ◽  
Author(s):  
William Hartmann ◽  
Le Zhang ◽  
Kerri Barnes ◽  
Roger Hsiao ◽  
Stavros Tsakalidis ◽  
...  
Keyword(s):  
Keyword Spotting ◽  
System Combination
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