Abstract
Aiming at the complex environmental noise, unknown channel parameters and dynamic changes of the receiver position with the mobile phone communication outdoors, a blind source separation algorithm based on microphone arrays is adopted, and the combined algorithms of the fast ICA and spectral subtraction are used to ensure the intelligibility. The maximum noise suppression is achieved. The simulation results show that the residual music noise is basically eliminated, the signal-to-noise ratio is improved, and the enhanced speech waveform is smoother.
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Wang, C., Wang, Q. (2020). Research on Speech Enhancement Algorithms Based on Blind Source Separation in Outdoor Environment. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_112
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DOI: https://doi.org/10.1007/978-3-030-15235-2_112
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