Abstract: An audio processing method by which input data are obtained that includes first sound data representing first components of a first frequency band, included in a first sound corresponding to a first sound source, second sound data representing second components of the first frequency band, included in a second sound corresponding to a second sound source, and mix sound data representing mix components of an input frequency band including a second frequency band, the mix components being included in a mix sound of the first sound and the second sound. The input data are then input to a trained estimation model, to generate at least one of first output data representing first estimated components within an output frequency band including the second frequency band, included in the first sound, or second output data representing second estimated components within the output frequency band, included in the second sound.

Abstract: An acoustic analysis device and the like that can separate acoustic signals of a target sound source at a higher speed are provided. The acoustic analysis device includes: an acquiring unit configured to acquire acoustic signals; a first generating unit configured to generate acoustic signals of diffuse noise using a first model which includes a spatial correlation matrix related to frequency, a first parameter related to the frequency, and a second parameter related to the frequency and time; a second generating unit configured to generate acoustic signals emitted from a target sound source using a second model which includes a steering vector related to the frequency, and a third parameter related to the frequency and the time; and a determining unit configured to determine the first parameter, the second parameter and the third parameter so that the likelihood of the first parameter, the second parameter and the third parameter is maximized.

Abstract: An audio processing method by which input data are obtained that includes first sound data representing first components of a first frequency band, included in a first sound corresponding to a first sound source, second sound data representing second components of the first frequency band, included in a second sound corresponding to a second sound source, and mix sound data representing mix components of an input frequency band including a second frequency band, the mix components being included in a mix sound of the first sound and the second sound. The input data are then input to a trained estimation model, to generate at least one of first output data representing first estimated components within an output frequency band including the second frequency band, included in the first sound, or second output data representing second estimated components within the output frequency band, included in the second sound.