{"title":"A dual-microphone noise reduction algorithm for mobile communications","authors":"Wahbi Nabi, Aloui Noureddine, A. Cherif","doi":"10.1109/SETIT.2016.7939876","DOIUrl":null,"url":null,"abstract":"A dual-microphone noise reduction method based on the coherence function for mobile communications is suggested in this paper. The proposed algorithm exploits the Kalman filter and the spectral subtraction method in order to improve the speech quality in different noisy environments. The adopted method is easy to implement and needs no estimation of interfering signals statistics. The proposed algorithm is tested with different distances between the two microphones using recorded data and objective criteria such as: PESQ and SNR. The good performance of the suggested algorithm and its low complexity, making it a promised solution for dual-channel mobile phones.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SETIT.2016.7939876","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A dual-microphone noise reduction method based on the coherence function for mobile communications is suggested in this paper. The proposed algorithm exploits the Kalman filter and the spectral subtraction method in order to improve the speech quality in different noisy environments. The adopted method is easy to implement and needs no estimation of interfering signals statistics. The proposed algorithm is tested with different distances between the two microphones using recorded data and objective criteria such as: PESQ and SNR. The good performance of the suggested algorithm and its low complexity, making it a promised solution for dual-channel mobile phones.