Abstract
Automatic indexing of multimedia documents across several different application tasks, including searching for words spoken, the detection of keywords and audio information retrieval. Thus, despite the changes made in the field of indexing speech, much remains to be done particularly for the key word search in spontaneous speech. Although the research areas of spoken words and audio retrieval has been well addressed, but still significant limitations to achieve, especially in terms of resource available today on the web.
The goal of this paper is to propose an approach for document management based multimedia indexing techniques to detect speech and keywords. We present in this article the various methods of indexing with the techniques of detection of key words. These methods derive three principal approaches from vocal indexing: the detection of key word, the detection of key words on phonetic flow (PSPL, CN,...) and the indexing containing the recognition with great vocabulary (LVR). We present, thereafter the step suggested for an approach based on the combinations of two techniques (PSPL, S-PSPL and CN, like on technique LVR.
A validation of this approach of indexing and information retrieval is in the course of validation for the field of the E-libraries.
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Issam, B., Ridda, L.M. (2012). Approaches for the Detection of the Keywords in Spoken Documents Application for the Field of E-Libraries. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34478-7_25
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DOI: https://doi.org/10.1007/978-3-642-34478-7_25
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