Abstract: A speech intelligibility calculating method is a method executed by a speech intelligibility calculating apparatus, the speech intelligibility calculating method including: a speech intelligibility calculating step of calculating a speech intelligibility that is an objective assessment index of a speech quality, based on a difference component between features found through an analysis of an input clean speech and an input enhanced speech, using one or more filter banks; and a step of outputting the speech intelligibility calculated at the speech intelligibility calculating step. This speech intelligibility calculating method is capable of calculating a speech intelligibility without any dependency on a speech enhancement method.

Abstract: A speech intelligibility calculating method is a method executed by a speech intelligibility calculating apparatus, the speech intelligibility calculating method including: a speech intelligibility calculating step of calculating a speech intelligibility that is an objective assessment index of a speech quality, based on a difference component between features found through an analysis of an input clean speech and an input enhanced speech, using one or more filter banks; and a step of outputting the speech intelligibility calculated at the speech intelligibility calculating step. This speech intelligibility calculating method is capable of calculating a speech intelligibility without any dependency on a speech enhancement method.

Abstract: The invention relates to a periodic signal processing method, a periodic signal conversion method, and a periodic signal processing device capable of reducing the influence of periodicity without using a spectral model. Time windows are arranged such that a center of each of the time windows is at a division position which divides a fundamental frequency in a temporal direction into fractions 1/n (where n is an integer equal to or larger than 2) so as to extract a plurality of portions of different ranges from a signal having periodicity. A power spectrum for the plurality of portions extracted by the respective time windows is calculated, and the calculated power spectrum is added with a same ratio.

Abstract: The invention relates to a periodic signal processing method, a periodic signal conversion method, and a periodic signal processing device capable of reducing the influence of periodicity without using a spectral model. Time windows are arranged such that a center of each of the time windows is at a division position which divides a fundamental frequency in a temporal direction into fractions 1/n (where n is an integer equal to or larger than 2) so as to extract a plurality of portions of different ranges from a signal having periodicity. A power spectrum for the plurality of portions extracted by the respective time windows is calculated, and the calculated power spectrum is added with a same ratio.

Abstract: A method, device, system, program and recording medium for impulse response measurement which can improve a measurement accuracy without lowering the S/N ratio over the whole range, from lower frequencies to higher frequencies, of a measuring signal are provided. A signal generation unit (21) of a device for impulse response measurement (10-1) generates a W-TSP signal (x(t)) having characteristics of a TSP signal and a Log-TSP signal. A D/A conversion unit (22) converts the digital signal (x(t)) into an analog signal (x(t)) and outputs the converted signal to a headphone (2) or a speaker (5). An A/D conversion unit (23) inputs an analog signal (y(t)) received by a microphone (3) or a microphone (6) and converts the inputted signal into a digital signal (y(t)). An inverse signal generation unit (24) generates an inverse W-TSP signal (x(t)). A convolution unit (25) convolutes the signal (y(t)) and the inverse W-TSP signal (x?1(t)) thereby to calculate an impulse response (g(t)).

Abstract: An object is to provide a method of extracting sound-source information, which method enables the characteristics of fixed points of mapping from filter center frequency to output instantaneous frequency to be detected from instantaneous data, as a value which can be interpreted quantitatively.

Abstract: The signal processing method includes the steps of: wavelet-transforming an input signal in a computer; and extracting features of the signal by Mellin-transforming the output of the wavelet transform step in synchrony with the input signal in a computer.