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 [BibTeX] [Marc21]
Exploiting contextual information for speech/non-speech detection
Type of publication: Idiap-RR
Citation: parthasarathi:rr08-22
Number: Idiap-RR-22-2008
Year: 2008
Institution: IDIAP
Abstract: In this paper, we investigate the effect of temporal context for speech/non-speech detection (SND). It is shown that even a simple feature such as full-band energy, when employed with a large-enough context, shows promise for further investigation. Experimental evaluations on the test data set, with a state-of-the-art multi-layer perceptron based SND system and a simple energy threshold based SND method, using the F-measure, show an absolute performance gain of $4.4\%$ and $5.4\%$ respectively. The optimal contextual length was found to be 1000 ms. Further numerical optimizations yield an improvement ($3.37\%$ absolute,',','), resulting in an absolute gain of $7.77\%$ and $8.77\%$ over the MLP based and energy based methods respectively. ROC based performance evaluation also reveals promising performance for the proposed method, particularly in low SNR conditions.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Parthasarathi, Sree Hari Krishnan
Hermansky, Hynek
Crossref by Parthasarathi_TSD2008_2008
Added by: [UNK]
Total mark: 0
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