In the contemporary realm of social communication, the widespread proliferation of applications such as mobile communication, audio-video calls, and voice recognition has led to a continuous surge in the demand for high-quality audio signal processing. However, various sources of noise, including environmental factors, network transmission issues, and inherent device noise, significantly degrade the quality of audio signals, thereby impacting the intelligibility and user experience of voice communication. This paper delves into an in-depth exploration of audio signal denoising algorithms based on wavelet transforms and presents an optimization approach tailored specifically to the context of speech communication. Through extensive experimentation and validation, our method substantially enhances the efficacy of audio denoising, aiming to contribute to the ongoing advancement of social communication technology and the improvement of voice communication quality.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimization of Audio Signal Denoising Algorithm Based on Wavelet Transform in Speech Communication Scene


    Contributors:
    Zhao, Silin (author) / Fu, Min (author)


    Publication date :

    2023-10-11


    Size :

    2593279 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    EEG signal denoising based on wavelet transform

    Harender / Sharma, R. K. | IEEE | 2017


    Chaotic Signal Denoising Based on Threshold Selection of Wavelet Transform

    Han, M. / Liu, Y.-h. / Xi, J.-h. et al. | British Library Online Contents | 2005


    An Improved Method for Adaptive Speech Denoising Based on Orthogonal Wavelet Transform

    Ren, J.-s. / Ren, P. / Ji, A.-g. et al. | British Library Online Contents | 2007


    Wavelet Denoising Algorithm Based on Fuzzy Threshold for Pulsar Signal

    Di, Y. / Luping, X. / Zhenhua, X. | British Library Online Contents | 2007