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In this paper, a new method of Chinese prosodic word tagging is presented. This method consists of a rule-based algorithm named ??keyword anchor?? and a statistical algorithm based on hidden Markov model (HMM). For keyword anchor algorithm, an anchor of the prosodic word is defined to help the system to find the whole
decoding engine. Such measures are useful to drive the recognition process by modifying the likelihood score or to validate recognized words in on-the-fly applications as keyword spotting task and on-line automatic speech transcription for deaf people. Two kinds of results are given. Firstly, an EER evaluation on a French
is no matched word (common word) in both sentences. In addition; if an itinerary is recorded as "Go to TENCON conference on next Monday" such a speech sentence will face difficulties for the future SDR. The timing keywords "next Monday" which is not a datable schedule leads to a query input: "Any trip on November 24
A method is proposed to annotate editorials and news articles for sentences that most accurately represent the opinion of the speaker towards the issue. The speaker's point of view or level of discernment of the issue is whittled out. A list of informative and related keywords is extracted from the document based on
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