Choi, Jae-Hun Chang, Joon-Hyuk Kim, Dong Kook Kim, Suhyun 2024-01-20T16:04:49Z 2024-01-20T16:04:49Z 2021-09-05 2011-10 0916-8508 https://pubs.kist.re.kr/handle/201004/129950 In this paper, we propose a spectral difference approach for noise power estimation in speech enhancement. The noise power estimate is given by recursively averaging past spectral power values using a smoothing parameter based on the current observation. The smoothing parameter in time and frequency is adjusted by the spectral difference between consecutive frames that can efficiently characterize noise variation. Specifically, we propose an effective technique based on a sigmoid-type function in order to adaptively determine the smoothing parameter based on the spectral difference. Compared to a conventional method, the proposed noise estimate is computationally efficient and able to effectively follow noise changes under various noise conditions. English IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG Speech Enhancement Based on Adaptive Noise Power Estimation Using Spectral Difference Article 10.1587/transfun.E94.A.2031 1 IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E94A, no.10, pp.2031 - 2034 IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E94A 10 2031 2034 scie scopus 000295601100016 2-s2.0-80053429428 Computer Science, Hardware & Architecture Computer Science, Information Systems Engineering, Electrical & Electronic Computer Science Engineering Article noise estimation spectral difference sigmoid