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ENSEMBLE OF DEEP NEURAL NETWORKS FOR ARTIFICIAL NOISE ROBUST SPEECH BANDWIDTH EXTENSION
ENSEMBLE OF DEEP NEURAL NETWORKS FOR ARTIFICIAL NOISE ROBUST SPEECH BANDWIDTH EXTENSION
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机译:深度神经网络在人工噪声鲁棒语音带宽扩展中的应用
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摘要
A deepened neural network ensemble is proposed for robust speech bandwidth extension to artificial noise. According to an embodiment of the present invention, there is provided a speech processing method using a speech processing method using a deep-processing neural network ensemble for extracting a feature vector from a narrowband (NB) signal and a wideband (WB) ; And extending the speech bandwidth by estimating the high frequency band frequency spectrum through learning of the extracted feature vector through the deepening neural network.
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