This paper reports on experiments to quantify the bene\ufb01ts of large training databases for nonEnglish HMM-based keyword spotting. The research was motivated by the lack of such databases for many non-English languages, and aims to determine if the signi\ufb01cant cost and delay of creating these databases justi\ufb01es the gains in keyword spotting performance. HMM based keyword spotting experiments performed for English, Spanish and Indonesian found that although some gains in performance can be obtained through increased training database size, the magnitude of these gains may not necessarily justify the effort and incurred delay of constructing such databases. This has rami\ufb01cations for the immediate development and deployment of non-English keyword spotting systems.<\/p>\n","protected":false},"excerpt":{"rendered":"
This paper reports on experiments to quantify the bene\ufb01ts of large training databases for nonEnglish HMM-based keyword spotting. The research was motivated by the lack of such databases for many non-English languages, and aims to determine if the signi\ufb01cant cost and delay of creating these databases justi\ufb01es the gains in keyword spotting performance. 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