Abstract: Disclosed are an audio processing method and an electronic apparatus. The audio processing method is applied to a conference system, and the conference system includes at least one audio capturing device. The audio processing method includes: receiving at least one segment of audio captured by the at least one audio capturing device (S1710); determining voices of a plurality of targets in the at least one segment of audio (S1720); and performing voice recognition on a voice of each of the plurality of targets, to obtain semantics corresponding to the voice of each target (S1730). Voice recognition is separately performed on voices of different targets, thereby improving accuracy of voice recognition.

Abstract: Methods for characterizing a sample of porous media using a measuring device along with a multipoint statistical (MPS) model. Retrieving a set of reflected measured data provided by the measuring device of a surface of the sample in order to produce a sample imaging log, wherein the retrieved set of measured data is communicated to a processor. Selecting depth-defined surface portions of the sample from the sample imaging log as a training image for inputting in the MPS model. Determining pattern based simulations from the training image using one of a pixel-based template which is applied to the training image. Constructing from the pattern based simulations a complete-sampling image log of surface portions of the sample. Repeat the above steps in order to construct three dimensional (3D) sample images from stacked successive pattern based simulations so as to construct at least one 3D model of the sample.

Abstract: Methods for characterizing a three-dimensional (3D) sample of porous media using at least one measuring tool that retrieves two or more set of transmitted measured data at two or more depths of the sample, such that the retrieved two or more set of transmitted measured data is communicated to a processor and computed in at least one multi-point statistical (MPS) model.

Abstract: Methods for characterizing a sample of porous media using a measuring device along with a multipoint statistical (MPS) model. Retrieving a set of reflected measured data provided by the measuring device of a surface of the sample in order to produce a sample imaging log, wherein the retrieved set of measured data is communicated to a processor. Selecting depth-defined surface portions of the sample from the sample imaging log as a training image for inputting in the MPS model. Determining pattern based simulations from the training image using one of a pixel-based template which is applied to the training image. Constructing from the pattern based simulations a complete-sampling image log of surface portions of the sample. Repeat the above steps in order to construct three dimensional (3D) sample images from stacked successive pattern based simulations so as to construct at least one 3D model of the sample.