{"title":"用于语音增强的Ephraim和Malah抑制规则的简单替代方案","authors":"Patrick J. Wolfe, S. Godsill","doi":"10.1109/SSP.2001.955331","DOIUrl":null,"url":null,"abstract":"Short-time spectral attenuation is a common form of audio signal enhancement in which a time-varying filter, or suppression rule, is applied to the frequency-domain transform of a corrupted signal. The suppression rule (see Ephraim, Y. and Malah, D., IEEE Trans. on Acoustics, Speech and Signal Proc., vol.ASSP-32, no.6, p.1109-21, 1984) for speech enhancement is both optimal in the minimum mean-square error sense and well-known for its associated colourless residual noise; however, it requires the computation of exponential and Bessel functions. We show that, under the same modelling assumptions, alternative Bayesian approaches lead to suppression rules exhibiting almost identical behaviour. We derive three such rules and show that they are efficient to implement and yield a more intuitive interpretation.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"63 1","pages":"496-499"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"110","resultStr":"{\"title\":\"Simple alternatives to the Ephraim and Malah suppression rule for speech enhancement\",\"authors\":\"Patrick J. Wolfe, S. Godsill\",\"doi\":\"10.1109/SSP.2001.955331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Short-time spectral attenuation is a common form of audio signal enhancement in which a time-varying filter, or suppression rule, is applied to the frequency-domain transform of a corrupted signal. The suppression rule (see Ephraim, Y. and Malah, D., IEEE Trans. on Acoustics, Speech and Signal Proc., vol.ASSP-32, no.6, p.1109-21, 1984) for speech enhancement is both optimal in the minimum mean-square error sense and well-known for its associated colourless residual noise; however, it requires the computation of exponential and Bessel functions. We show that, under the same modelling assumptions, alternative Bayesian approaches lead to suppression rules exhibiting almost identical behaviour. We derive three such rules and show that they are efficient to implement and yield a more intuitive interpretation.\",\"PeriodicalId\":70952,\"journal\":{\"name\":\"信号处理\",\"volume\":\"63 1\",\"pages\":\"496-499\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"110\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信号处理\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/SSP.2001.955331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/SSP.2001.955331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 110
摘要
短时频谱衰减是音频信号增强的一种常见形式,其中时变滤波器或抑制规则应用于损坏信号的频域变换。抑制规则(见Ephraim, Y. and Malah, D., IEEE译)。声学,语音与信号处理,vol. 32, no。6, p.1109- 21,1984)的语音增强在最小均方误差意义上是最优的,并且以其相关的无色残余噪声而闻名;然而,它需要计算指数函数和贝塞尔函数。我们表明,在相同的建模假设下,替代贝叶斯方法导致抑制规则表现出几乎相同的行为。我们推导了三个这样的规则,并表明它们是有效的实现和产生更直观的解释。
Simple alternatives to the Ephraim and Malah suppression rule for speech enhancement
Short-time spectral attenuation is a common form of audio signal enhancement in which a time-varying filter, or suppression rule, is applied to the frequency-domain transform of a corrupted signal. The suppression rule (see Ephraim, Y. and Malah, D., IEEE Trans. on Acoustics, Speech and Signal Proc., vol.ASSP-32, no.6, p.1109-21, 1984) for speech enhancement is both optimal in the minimum mean-square error sense and well-known for its associated colourless residual noise; however, it requires the computation of exponential and Bessel functions. We show that, under the same modelling assumptions, alternative Bayesian approaches lead to suppression rules exhibiting almost identical behaviour. We derive three such rules and show that they are efficient to implement and yield a more intuitive interpretation.
期刊介绍:
Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.