{"title":"Research on Speech Signal Enhancement Technology Based on Progressive Deep Neural Network","authors":"Teng Haikun, Li Lunbin, W. Shiying","doi":"10.1145/3407703.3407732","DOIUrl":null,"url":null,"abstract":"Traditional speech enhancement methods have some shortcomings when processing sound signals. For example, under low signal-to-noise ratio, the residual of music noise is heavy; the effect of non-stationary noise suppression is not obvious; they are all based on the assumption that the noise is a stationary process. In this paper, the progressive speech enhancement method based on neural network, through experimental comparison, can effectively improve the problems of traditional speech enhancement methods.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3407703.3407732","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
Traditional speech enhancement methods have some shortcomings when processing sound signals. For example, under low signal-to-noise ratio, the residual of music noise is heavy; the effect of non-stationary noise suppression is not obvious; they are all based on the assumption that the noise is a stationary process. In this paper, the progressive speech enhancement method based on neural network, through experimental comparison, can effectively improve the problems of traditional speech enhancement methods.