Accession Number:

AD1038539

Title:

Score Normalization for Keyword Search

Descriptive Note:

Conference Paper

Corporate Author:

Bogazici University Istanbul Turkey

Personal Author(s):

Report Date:

2016-06-23

Pagination or Media Count:

4.0

Abstract:

In this work, keyword search KWS is based on a symbolic index that uses posteriorgram representation of the speech data. For each query, sum-to-one normalization or keyword specific thresholding is applied to the search results. The effect of these methods on the proposed KWS system is investigated. Results are combined with a KWS system that is based on an index generated from automatic speech recognition ASR lattices and the effect of score normalization on the performance of the combined system is observed. Maximum term weighted value MTWV is used as the performance measure. It is shown that the MTWV is increased in the combined system especially for the out-of-vocabulary OOV keywords that are not covered by the ASR lexicon.

Subject Categories:

  • Voice Communications
  • Linguistics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE