Abstract
The perception of sound by human auditory system includes not only subjective attributes such as loudness, tone and timbre, but also spatial attributes of sound. 3D sound effect is an acoustic concept, which has the characteristics of broad sound stage and strong sense of sound localization, and can bring advanced auditory enjoyment to users. To analyze the audio signal, we must first preprocess the signal, filter out the noise in the audio signal and extract useful signal components. Aiming at the problems that may be faced in 3D audio signal processing, an improved algorithm for determining the threshold based on decomposition scale is proposed, and the optimal decomposition scale is determined by comparing adjacent high-frequency coefficient graphs. The improved algorithm in this article better preserves the characteristics of the signal. The accuracy of audio processing using this method is as high as 95.69%, which is higher than that of the two models, 5.98% and 9.53% respectively. The results show that the method proposed in this article has obvious advantages in audio processing. The improved algorithm can effectively remove noise interference and enhance the stereo effect of 3D audio, and the signal-to-noise ratio is obviously better than the original algorithm.
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Li, K., Tang, Y., Ouyang, Y. (2023). Research on Audio Processing Method Based on 3D Technology. In: Tsihrintzis, G.A., Favorskaya, M.N., Kountchev, R., Patnaik, S. (eds) Advances in Computational Vision and Robotics. ICCVR 2023. Learning and Analytics in Intelligent Systems, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-031-38651-0_4
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DOI: https://doi.org/10.1007/978-3-031-38651-0_4
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