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In this paper, we propose a fundamental frequency (F0) estimation algorithm for noisy speech based on exploring the local time-frequency (TF) segment. Our algorithm is motivated by the fact that the full band speech signal is redundant for pitch perception. We assume that in the same time region, the TF segment least affected by noise interference is more reliable for F0 estimation than the full band...
In this letter, we propose a novel dual-microphone technique for enhancement of speech degraded by background noise and reverberation. Our algorithm is based on a prediction of the coherence function between the noisy input signals, considering both direct and reverberant speech and noise components received by the sensors, and therefore, is capable of dealing with both coherent and diffuse noise...
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