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Clatter diminishing for mobile telephony

机译:移动电话的杂音逐渐减少

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摘要

This paper discusses about the application of denoising process for mobile phones. Mobile phones are often used in noisy environments such as noisy street, cafe, or in a moving car/train. The attribute of speech can be degraded by the background noise. The spectral subtraction method is considered to be the popular method of noise reduction in speech signal. The performance of the original speech signal is improved by processing the signal based on the type of background noise, through that the performance can be enhanced. The objective of the paper is to separate the noise that is present in the original speech signal in various environments of mobile phone users. To enrich the speech signal, Wavelet based Spectral Subtraction (WSS) is introduced to reduce the background interference. The extracted signal will be used to detect the type of noise. The WSS utilizes both low and high frequency components. The performance of WSS will be evaluated and calculated by Signal to Noise Ratio (SNR).
机译:本文讨论了去噪处理在手机中的应用。手机通常用于嘈杂的环境中,例如嘈杂的街道,咖啡馆或正在行驶的汽车/火车。语音的属性会因背景噪声而降低。频谱减法被认为是语音信号降噪的流行方法。通过基于背景噪声的类型处理信号,可以改善原始语音信号的性能,从而可以增强性能。本文的目的是分离在移动电话用户的各种环境中原始语音信号中存在的噪声。为了丰富语音信号,引入了基于小波的谱减法(WSS)以减少背景干扰。提取的信号将用于检测噪声的类型。 WSS利用低频和高频成分。 WSS的性能将通过信噪比(SNR)进行评估和计算。

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