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This paper proposes a multistage utterance verification method as a post-processing technique for online spoken content retrieval in portable electric devices. The online spoken content retrieval system analyzes spoken content in an online manner and searches speech segments of pre-defined keywords. To maintain stable
This paper describes experiments for audio clips comparison based on spoken context. The spoken content is obtained using automatic speech recognition. The social tags that are available for most of the audio clips are used as keywords. These keywords are mapped to the spoken transcription representing the audio clips
This paper surveys Audio Information Retrieval (AIR) using a literature review and classification of articles from 1994 to 2010 with a keyword index and article abstract in order to explore how AIR methodologies and applications have developed during this period. Based on the scope of many papers and journals of AIR
relations and bi relation patterns; TCMW-MODEL is used for acquiring the sets of the domain keywords in the traditional Chinese medicine. Our experimental results show the precision/recall of data extraction using this system is as good as those from the templates based on structured information extraction. The domain experts
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