Abstract: Embodiments are disclosed for a method for dynamic text reading. The method includes performing pre-processing for a text document. Pre-processing includes determining the text document comprises an emotional statement based on an indicator of an emotion associated with the emotional statement. Pre-processing also includes identifying a speaker of the emotional statement. Further, pre-processing includes generating a role-to-voice map that associates the speaker with a digital representation of a voice for the speaker. The method additionally includes generating, based on the pre-processing, the voice for the speaker reading aloud a text of the text document using the digital representation of the voice with a tonal modulation that conveys the emotion.

Abstract: A picture is obtained. The picture is intended to be compressed in a video stream. The picture includes pixel data that depicts a scene. A subject in the pixel data that depicts the scene is identified. The identification is based on the pixel data included in the picture. A plurality of object data is generated. The generated object data is related to the subject. The generation is based on the identification of the subject. An intended compression format of the pictured to be compressed in the video stream is determined. A pixel operation on the picture is performed. The performance is based on the determination of the intended compression format and before compression of the picture. The generated plurality of object data is related with the picture after compression of the picture.

Abstract: Embodiments are disclosed for a method for dynamic text reading. The method includes performing pre-processing for a text document. Pre-processing includes determining the text document comprises an emotional statement based on an indicator of an emotion associated with the emotional statement. Pre-processing also includes identifying a speaker of the emotional statement. Further, pre-processing includes generating a role-to-voice map that associates the speaker with a digital representation of a voice for the speaker. The method additionally includes generating, based on the pre-processing, the voice for the speaker reading aloud a text of the text document using the digital representation of the voice with a tonal modulation that conveys the emotion.

Abstract: In an approach for smart collaboration, a plurality of images are received. Each image of the plurality of images is from a different device of a plurality of devices. The plurality of images are combined into a single combined image. The combined image is transferred to the plurality of devices.

Abstract: A picture is obtained. The picture is intended to be compressed in a video stream. The picture includes pixel data that depicts a scene. A subject in the pixel data that depicts the scene is identified. The identification is based on the pixel data included in the picture. A plurality of object data is generated. The generated object data is related to the subject. The generation is based on the identification of the subject. An intended compression format of the pictured to be compressed in the video stream is determined. A pixel operation on the picture is performed. The performance is based on the determination of the intended compression format and before compression of the picture. The generated plurality of object data is related with the picture after compression of the picture.

Abstract: In an approach for smart collaboration, a plurality of images are received. Each image of the plurality of images is from a different device of a plurality of devices. The plurality of images are combined into a single combined image. The combined image is transferred to the plurality of devices.