Robust noise estimation for speech enhancement in variable noise conditions
Abstract:
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.
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