Sundarrajan Rangachari

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A noise-estimation algorithm is proposed for highly non-stationary noise environments. The noise estimate is updated by averaging the noisy speech power spectrum using time and frequency dependent smoothing factors, which are adjusted based on signal-presence probability in individual frequency bins. Signal presence is determined by computing the ratio of(More)
A noise estimation algorithm is proposed for highly non-stationary noise environments. The noise estimate is updated by averaging the noisy speech power spectrum using a time and frequency dependent smoothing factor, which is adjusted based on signal presence probability in subbands. Signal presence is determined by computing the ratio of the noisy speech(More)
v ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. Philipos C. Loizou, for his guidance in my studies and my work. He has offered me many helpful suggestions on conducting research and writing technical documents. defense committee and for their valuable feedback on this manuscript. I also thank Arunvijay Mani for helping me format the thesis. And(More)
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