| 摘要 |
PURPOSE:To provide the voice pass filter which can screen and remove a noise signal regardless of the kind of the noise signal superposed on a voice signal by providing a neural network for noise removal which screens and removes the acoustic parameter of the noise signal from the acoustic parameter of the inputted voice signal superposed with the noise signal. CONSTITUTION:The sampling value of the acoustic signal A consisting of the voice signal S superposed with the noise signal N is inputted via a delay section 20 to the input layer of the neural network 5 for noise removal. On the other hand, the environmental noise N is inputted mainly from a microphone 3 installed in the position apart at some extent from a speaker's mouth and is subjected to an A/D conversion in a sampling period of 12kHz by an A/D converter 4. The sampling value N(t) of the noise signal N is inputted via a delay section 21 to the input layer of the neural network 5 for noise removal. Then, the neural network 5 for noise removal separates the voice signal S and the noise signal N from the acoustic signal A, removes the noise signal N and outputs the voice signal S as an output sound. |
