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}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Crossref by |
Parthasarathi_TSD2008_2008 |
| Added by: | [UNK] |
| Total mark: | 0 |
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