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Application Research of Speech Signal Processing Technology Based on Cloud Computing Platform

机译:语音信号处理技术在云计算平台的应用研究

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摘要

In recent years, in the context of the rapid development of information technology, artificial intelligence has also developed. People have begun to train machines. Many machines have been able to gradually understand human languagesand perform a series of actions based on language instructions. On this basis, scientific researchers hope that the machine can be more intelligent and humane. In the noise estimation stage, a noise estimation algorithm based on speech detection is used to effectively estimate the noise. Secondly, according to the characteristics of the method of speech noise reduction processing, a method of processing speech noise is realized. Finally, simulation experiments are used to illustrate the effectiveness of the algorithm. Aiming at the shortcomings of traditional speech noise reduction algorithms, improvements were made in adaptive filter estimation. The model's speech noise reduction algorithm was obtained. The cepstrum estimation of speech signals was modified, and the effect of speech enhancement was significantly improved.
机译:近年来,在信息技术的快速发展的背景下,人工智能也开发出来。人们已经开始训练机器。许多机器已经能够逐步理解人类语言和根据语言指令执行一系列动作。在此基础上,科学研究人员希望机器可以更聪明和人性化。在噪声估计阶段,基于语音检测的噪声估计算法用于有效地估计噪声。其次,根据语音降噪处理方法的特性,实现了一种处理语音噪声的方法。最后,使用模拟实验来说明算法的有效性。针对传统语音降噪算法的缺点,在自适应滤波器估计中进行了改进。获得了模型的语音降噪算法。修改了语音信号的克博士估计,语音增强的效果显着提高。

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