A method for controlling secure access to user requested data includes retrieving information related to potential unauthorized access to user requested data. The information is collected by a plurality of sensors of user's mobile device. A trained statistical model representing an environment surrounding a user is generated based on the retrieved information. A first data security value is determined using the generated trained statistical model. The first data security value indicates a degree of information security based on user's environment. A second data security value is determined using the generated trained statistical model. The second data security value indicates a degree of confidentiality of the user requested data. The user requested data is filtered based on a ratio of the determined first data security value and the second data security value.

A method for controlling secure access to user requested data includes retrieving information related to potential unauthorized access to user requested data. The information is collected by a plurality of sensors of user's mobile device. A trained statistical model representing an environment surrounding a user is generated based on the retrieved information. A first data security value is determined using the generated trained statistical model. The first data security value indicates a degree of information security based on user's environment. A second data security value is determined using the generated trained statistical model. The second data security value indicates a degree of confidentiality of the user requested data. The user requested data is filtered based on a ratio of the determined first data security value and the second data security value.

Attributes of electronic content from a meeting are identified and evaluated to determine whether sub-portions of the electronic content should or should not be attributed to a user profile. Upon determining that the sub-portion should be attributed to a user profile, attributes of the sub-portion of electronic content are compared to attributes of stored user profiles. A probability that the sub-portion corresponds to at least one stored user profile is calculated. Based on the calculated probability, the sub-portion is attributed to a stored user profile or a guest user profile.

Attributes of electronic content from a meeting are identified and evaluated to determine whether sub-portions of the electronic content should or should not be attributed to a user profile. Upon determining that the sub-portion should be attributed to a user profile, attributes of the sub-portion of electronic content are compared to attributes of stored user profiles. A probability that the sub-portion corresponds to at least one stored user profile is calculated. Based on the calculated probability, the sub-portion is attributed to a stored user profile or a guest user profile.

An audio file processing method is provided for an electronic device. The method includes extracting at least one audio segment from a first audio file, recognizing at least one to-be-replaced audio segment representing a target role from the at least one audio segment, and determining time frame information of each to-be-replaced audio segment in the first audio file. The method also includes obtaining to-be-dubbed audio data for each to-be-replaced audio segment, and replacing data in the to-be-replaced audio segment with the to-be-dubbed audio data according to the time frame information, to obtain a second audio file. The at least one to-be-replaced audio segment is divided from the at least one audio segment based on a structure and a word count in a sentence corresponding to each to-be-replaced audio segment.

A personal identification apparatus includes a recording unit that records in advance feature information concerning an activity of at least one of a first person (person A) and a second person (person B or C) when the first person and the second person are together; an information acquiring unit that acquires identification information for identifying the other person; and an identification processing unit that identifies the other person as the second person, based on matching between the identification information and the feature information.

A personal identification apparatus includes a recording unit that records in advance feature information concerning an activity of at least one of a first person (person A) and a second person (person B or C) when the first person and the second person are together; an information acquiring unit that acquires identification information for identifying the other person; and an identification processing unit that identifies the other person as the second person, based on matching between the identification information and the feature information.

Described are multiple cameras in a conference room, each pointed in a different direction. A primary camera includes a microphone array to perform sound source localization (SSL). The SSL is used in combination with a video image to identify the speaker from among multiple individuals that appear in the video image. Pose information of the speaker is developed. Pose information of each individual identified in each other camera is developed. The speaker pose information is compared to the pose information of the individuals from the other cameras. The best match for each other camera is selected as the speaker in that camera. The speaker views of each camera are compared to determine the speaker view with the most frontal view of the speaker. That camera is selected to provide the video for provision to the far end.

Described are multiple cameras in a conference room, each pointed in a different direction. A primary camera includes a microphone array to perform sound source localization (SSL). The SSL is used in combination with a video image to identify the speaker from among multiple individuals that appear in the video image. Pose information of the speaker is developed. Pose information of each individual identified in each other camera is developed. The speaker pose information is compared to the pose information of the individuals from the other cameras. The best match for each other camera is selected as the speaker in that camera. The speaker views of each camera are compared to determine the speaker view with the most frontal view of the speaker. That camera is selected to provide the video for provision to the far end.

Aspects of the present disclosure involve processing audio signals to determine the presence and proximity of a user to a computing device, such as a voice-controlled computing device located within an environment. When the proximity of the user in comparison to the computing device is within an acceptable threshold, a voice command is detected that is associated with the user of a plurality of users located in the environment. In some instances, a device command is generated based on the voice command. The device command is executed, for example, at the computing device.