期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：170
期号：3
页码：032108
DOI：10.1088/1755-1315/170/3/032108
语种：English
出版社：IOP Publishing
摘要：In speech communication scenes, the microphone signals are often weakened by reverberation and ambient noise. Reverberation can be divided into an early part that is comprised of the direct speech and some early ones and a late part. In this paper, an advanced expectation-maximization (EM) algorithm for multimicrophone speech dereverberation and noise reduction, extending EM by taking the noise statistics into account, is proposed. This method aims at estimating the early parts filtered by early transform functions (ETFs). The EM algorithm is executed in two steps. In the E-step, the filtered early speech is calculated. Then, in the M-step, the ETFs, the power spectral density (PSD) of the filtered early speech and the late reverberation, and the spatial coherence matrix of the late reverberation are estimated. This algorithm is evaluated using an open-source room impulse responses (RIRs) database with a reverberation time of 0.36s and 0.61s under different signal-to-noise (SNR) conditions. It is proved an improvement compared with the original EM method.
