| Paper: | SP-P15.5 | ||
| Session: | Robustness in Noisy Environments | ||
| Time: | Friday, May 21, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Robust Speech Recognition | ||
| Title: | A MODIFIED EPHRAIM-MALAH NOISE SUPPRESSION RULE FOR AUTOMATIC SPEECH RECOGNITION | ||
| Authors: | Roberto Gemello; Loquendo | ||
| Franco Mana; Loquendo | |||
| Renato De Mori; University of Avignon | |||
| Abstract: | A soft decision gain modification is introduced and applied to the Ephraim-Malah gain function based on Maximum Mean Square Error Estimation (MMSE) [4-5] after amplitude compression. Non-linear evaluations of the noise overestimation factor and spectral floor are used in the same way for the proposed gain modification and for non-linear spectral subtraction (NSS). Consistent and statistically significant ASR improvements of the proposed approach with respect to NSS are observed for different noise conditions considered in the AURORA2 and AURORA3 corpora. As the non-linearity affects the two approaches in the same way, the result of comparison is particularly interesting. | ||
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