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.
Optimization of Audio Signal Denoising Algorithm Based on Wavelet Transform in Speech Communication Scene
2023-10-11
2593279 byte
Conference paper
Electronic Resource
English
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