摘要
4K音频信号噪声呈现复杂状态,在冲击响应下会出现非稳状态,对噪声信号进行识别和标记是一个难点。提出4K高清全媒体转播车音频信号非稳态噪声过滤方法。采用幅频响应特征提取方法对非稳态噪声信号的位置尺度参数进行计算,分割音频信号片段后构建冲击响应函数。在冲击响应函数的支持下,采用粒子滤波完成非稳态噪声特征的提取。根据特征提取结果,对音频信号进行时域内的分段处理。采用维格纳变换分析音频信号解析信号的时频域,构建非稳态噪声的标记函数,完成非稳态噪声的检测。对非稳态噪声进行编码处理后,获得对应的解析信号,完成非稳态噪声的过滤处理。实验结果表明,所提方法能够提高音频信号的信噪比,并且能够在提升非稳态噪声过滤效果的同时,缩短过滤时间,说明所研究的非稳态噪声过滤方法具有较高的现实应用意义。
The 4K audio signal noise presents a complex state and may lead to an unstable state under the impact response.Identifying and labeling the signal noise is a challenge.This paper proposes a method of non-stationary noise filtering for 4K high-definition all-media broadcasting vehicle audio signals.The amplitude frequency response feature extraction method is used to calculate the position scale parameters of non-stationary noise signals,split audio signal segments,and construct an impact response function.With the support of the impact response function,particle filtering is used to extract non-stationary noise features.Based on the feature extraction results,the audio signals are segmented in the time domain.Wigner transform is used to analyze the time-frequency domain of analytic signal of audio signal,and the marking function of non-stationary noise is constructed to complete the detection of non-stationary noise.After encoding the non-stationary noise,the corresponding analytic signal is obtained,and the non-stationary noise filtering is completed.The experimental results show that the proposed method can improve the signal-to-noise ratio of audio signals and shorten the filtering time while improving the filtering effect of non-stationary noise,which indicates that the non-stationary noise filtering method studied has higher practical application significance.
作者
符达辉
FU Dahui(Danzhou Radio and TV Station,Danzhou 571700,China)
出处
《微型电脑应用》
2024年第6期50-52,64,共4页
Microcomputer Applications
基金
海南省科技攻关计划基金资助项目(152301230257)。
关键词
4K高清
全媒体转播车
音频信号
非稳态噪声过滤
位置尺度参数
4K high-definition
all-media broadcasting vehicle
audio signal
non-stationary noise filtering
position scale parameter