ROBUST NOISE ESTIMATION FOR SPEECH ENHANCEMENT IN VARIABLE NOISE CONDITIONS

摘要

Speech in a motor vehicle is improved by suppressing transient, “non-stationary” noise using pattern matching. Pre-stored sets of linear predictive coefficients are compared to LPC coefficients of a noise signal. The pre-stored LPC coefficient set that is “closest” to an LPC coefficient set representing a signal comprising speech and noise is considered to be noise.