Computationally efficient speech enhancement by spectral minima tracking in subbands
نویسنده
چکیده
| We present an eecient algorithm for the enhancement of speech signals which are heavily corrupted by short-time stationary, acoustically or electrically added disturbances. The algorithm is based on spectral amplitude estimation using an overlap-add FFT lter bank system. Compared to other systems , the improved performance of our speech enhancement system is achieved by the combination of the best known spectral amplitude estimators of the noisy speech signal and a new eecient and reliable noise spectrum tracker. As a result, our speech enhancement system requires no speech pause detection for noise estimation and needs only 14% { 23% of the resources of a commercially available digital signal processor .
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