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Trained artificial neural networks using an imperfect vocal tract model for assessment of speech signal quality
Trained artificial neural networks using an imperfect vocal tract model for assessment of speech signal quality
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机译：使用不完善声道模型训练的人工神经网络，用于评估语音信号质量
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摘要
A speech signal is subjected imperfect to vocal tract analysis model and the output therefrom is analyzed by a neural network. The output from the neural network is compared with the parameters stored in the network definition function, to derive measurement of the quality of the speech signal supplied to the source. The network definition function is determined by applying to the trainable processing apparatus a distortion perception measure indicative of the extent to which a distortion would be perceptible to a human listener.
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