  The paper proposes an efficient, robust, and reconfigurable technique to
suppress various types of noises for any sampling rate. The theoretical
analyses, subjective and objective test results show that the proposed noise
suppression (NS) solution significantly enhances the speech transmission index
(STI), speech intelligibility (SI), signal-to-noise ratio (SNR), and subjective
listening experience. The STI and SI consists of 5 levels, i.e., bad, poor,
fair, good, and excellent. The most common noisy condition is of SNR ranging
from -5 to 8 dB. For the input SNR between -5 and 2.5 dB, the proposed NS
improves the STI and SI from "fair" to "good". For the input SNR between 2.5 to
8 dB, the STI and SI are improved from "good" to "excellent" by the proposed
NS. The proposed NS can be adopted in both capture and playback paths for voice
over internet protocol, voice-trigger, and automatic speech recognition
applications.
