The speech denoising Neural Network architecture we propose in this paper is based on Adaptive Spline Neural Network (ASNN). It is an architecture for real-time oriented applications, due to its low size complexity and high parallelism. Results show improvements in Signal to Noise Ratio (SNR) and better performances in comparison with classical denoising neural networks.
Costantini, G., Carota, M. (2004). Multilayer Spline Neural Networks for Speech Denoising in Frequency Domain. WSEAS TRANSACTIONS ON SYSTEMS, 3(2), 569-572.
Multilayer Spline Neural Networks for Speech Denoising in Frequency Domain
COSTANTINI, GIOVANNI;
2004-01-01
Abstract
The speech denoising Neural Network architecture we propose in this paper is based on Adaptive Spline Neural Network (ASNN). It is an architecture for real-time oriented applications, due to its low size complexity and high parallelism. Results show improvements in Signal to Noise Ratio (SNR) and better performances in comparison with classical denoising neural networks.File in questo prodotto:
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