# SGM-EMA: Speech Enhancement Method Score-Based Diffusion Model and EMA Mechanism
## 2 Methodology
### Numerical SDE Solver
Conceptualization, Y.W. and Z.L. ; methodology, Z.L. ; software, Z.L. ; validation, Y.W., Z.L. and H.H. ; formal analysis, Y.W. ; investigation, Z.L. ; writing--original draft preparation, Y.W. and Z.L. ; writing--review and editing, Y.W., Z.L. and H.H. ; project administration, Y.W. ; funding acquisition, Y.W. All authors have read and agreed to the published version of the manuscript. This research was funded by the National Key R&D Program of China (Project No. 2021 YFF0603904), the Henan Province Key R&D Special Fund (Project No. 251111242100), the Civil Aviation Flight University of China (Project No. TD2025 CZ09), and the Civil Aviation Flight University of China (Project No. 25 CAFUC10028). Not applicable. The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding authors. The authors declare no conflicts of interest. ## Abbreviations

The following abbreviations are used in this manuscript: \begin{tabular}{l l} EMA & Efficient multi-scale attention \\ VB-DMD & VoiceBank-DEMAND \\ VB & VoiceBank \\ DMD & DEMAND \\ TIMIT & The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus \\ TUT & TUT Sound Events 2017 \\ PESQ & Perceptual evaluation of speech quality \\ ESTOI & Extended short-time objective intelligibility \\ SI-SDR & Scale-invariant signal-to-distortion ratio \\ T-F & Time-frequency \\ D & Discriminant models \\ G & Generative models \\ SDE & Stochastic differential equation \\ SDE & Stochastic differential equations \\ PC & Predictor-corrector \\ U-Net & Convolutional Networks for Biomedical Image Segmentation \\ NCSN++ & Noise Conditional Score Network++ \\ Conv2D & Two-Dimensional Convolution \\ FIR & Finite impulse response \\ TI & Texas Instruments \\ MIT & Massachusetts Institute of Technology \\ SRI & Stanford Research Institute \\ SNR & Signal-to-noise ratio \\ \end{tabular} 

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