Combination of feature weight and speech enhancement

In this paper we propose a novel algorithm for feature weight and speech enhancement, in which every feature is weighted according to their credible probability, especially, the weight factors are formulated and obtained from the gain coefficients generated as a by-product of speech enhancement based on short-time spectrum amplitude (STSA) estimation. Moreover, this algorithm can be combined with the front-end speech enhancement itself. Experiments demonstrate that this algorithm affords significant performance improvements at low SNRs.