摘要:
An autocorrelation calculating part 21 calculates autocorrelation R o (i) from an input signal. A predictive coefficient calculating part 23 performs linear predictive analysis using modified autocorrelation R' o (i) obtained by multiplying the autocorrelation R o (i) by a coefficient w o (i). Here, it is assumed that a case where, for at least part of each order i, the coefficient w o (i) corresponding to each order i monotonically increases as a value having negative correlation with a fundamental frequency of an input signal in a current frame or a past frame increases and a case where the coefficient w o (i) monotonically decreases as a value having positive correlation with a pitch gain in a current frame or a past frame increases, are comprised.
摘要:
A device includes a fast Fourier transform (FFT) unit (110), a signal noise ratio (SNR) calculation processing unit (120), a band selecting unit (130), an extension-signal creating unit (140), an addition unit (150), and an inverse fast Fourier transform (IFFT) unit (160). The FFT unit (110) performs the Fourier transform on an input signal that is input from the outside. The SNR calculation processing unit (120) calculates an SNR with respect to each of bands in the input signal. The band selecting unit (130) selects a band of which SNR exceeds a threshold and is the maximum SNR, based on respective SNRs of the bands. The extension-signal creating unit (140) creates an extension signal based on a signal acquired by the band selecting unit (130). The addition unit (150) adds the extension signal to the input signal, and creates a band-extended signal. The IFFT unit (160) performs the inverse fast Fourier transform on the band-extended signal, and creates an output signal.
摘要:
The present disclosure provides a medical support system (100) for patient treatment. The medical support system (100) includes an audio reception module (110) configured to receive sounds (S) of a patient (1) and generate sound data (SD) indicative of the received sounds (S); and an artificial intelligence module (120) configured to analyze the sound data (SD), wherein the artificial intelligence module (120) is further configured to provide a medical support function based on the analysis of the sound data (SD).