Compressive speech enhancement
Speech Communication
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Frequency domain noise suppression systems with a single microphone are studied for adverse mobile noise environments. A new noise suppression algorithm based on a modified maximum likelihood estimate is developed. The algorithm takes into account not only minimum voice distortion but also subjective criteria for the noise naturalness. A speech detector based on the temporal signal-to-noise ratio information of every subband of a bandpass filter bank is proposed. The speech detector is proven to be very effective and robust in a rapidly changing noisy background. The proposed noise suppression method in the mobile telephone systems demonstrates much better subjective and objective test results than the existing methods.