Isolated word verification using Coh
نویسنده
چکیده
Isolated Word Verification (IWV) is the task of verifying the occurrence of a keyword at a specified location within a speech stream. Typical applications of IWV are to reduce the number of incorrect results output by a speech recognizer or keyword spotter. Such algorithms are also vital in reducing the false alarm rate in many commercial applications of speech recognition, such as automated telephone transaction systems and audio database search engines. In this paper, we propose a new method of isolated word verification that we call Cohort Word-level Verification (CWV). The CWV method attempts to increase IWV performance by incorporating higher level linguistic and word level information into the selection of non-keyword models for verification. When used in conjunction with speech background model based IWV, we are able to achieve significant performance improvements for IWV of short words.
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تاریخ انتشار 2003