Feature normalization based on non-extensive statistics for speech recognition

► We propose a feature normalization method for robust speech recognition. ► It operates in a spectral domain intermediate between log and linear. ► We name our method q-logarithmic Spectral Mean Normalization (q-LSMN). ► It is based on non-extensive statistics in which additivity does not hold. ► It was better than CMN, MVN, and ETSI AFE in our experiments.