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QUALITY ASSESSMENT OF SEARCH TERMS IN SPOKEN TERM DETECTION

QUALITY ASSESSMENT OF SEARCH TERMS IN SPOKEN TERM DETECTION. Amir Harati and Joseph Picone , PhD Department of Electrical and Computer Engineering Temple University. URL:. Abstract.

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QUALITY ASSESSMENT OF SEARCH TERMS IN SPOKEN TERM DETECTION

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  1. QUALITY ASSESSMENT OF SEARCH TERMSIN SPOKEN TERM DETECTION Amir Harati and Joseph Picone, PhD Department of Electrical and Computer Engineering Temple University URL:

  2. Abstract • Spoken term detection is an extension of text-based searching that allows users to type keywords and search audio files containing spoken language for their existence. • Performance is dependent on many external factors such as the acoustic channel, language and the confusability of the search term. • Unlike text-based searches, the quality of the search term plays a significant role in the overall perception of the usability of the system. • In this presentation we will review conventional approaches to keyword search. • Goal: Develop a tool similar to the way password checking tools currently work. • Approach: develop models that predict the quality of a search term based on its spelling (and underlying phonetic context).

  3. Demo Available at: http://www.isip.piconepress.com/projects/ks_prediction/demo/current/

  4. Methods • Acoustic distance algorithm. • Phonetic distance algorithm. • Feature based algorithm.

  5. Feature based methods • Using different pattern recognition methods. • Different features and different feature selection methods. • Example results:

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