Abstract: A system captures image data that includes a person executing a sign of a sign language. Keypoints are extracted from the image data. The keypoints include locations on a hand of the person, an arm of the person, a trunk of the person and a face of the person. The keypoints are provided to a parameter analyzer for detecting characteristics of the sign. The characteristics of the sign includes a handshape, a palm orientation, an articulation point and a movement. A description of the sign is generated from an output of the parameter analyzer. The description of the sign is filtered and aggregated, thereby creating a condensed description of the sign. A database of known signs is queried with the condensed description using a dynamic time warping algorithm. A word is retrieved from the database that is associated with the sign.

Abstract: One embodiment provides a method, the method including: receiving, at an information handling device utilizing a virtual sign language system, sign language element inputs from a user provided on a virtual keyboard; determining, utilizing the virtual sign language system, a set of sign language element search results resulting from the sign language element inputs; receiving, from the user at the virtual keyboard, input selecting one search result from the set of search results; and providing, utilizing the virtual sign language system, an output corresponding to the selected one search result. Other aspects are claimed and described.

Abstract: A computer implemented method, system and computer program product are provided that implement a neural network (NN) audio filter. The method, system and computer program product obtain an electronic audio signal comprising a speech impaired message and apply the audio signal to the NN audio filter to modify the speech impaired message to form an unimpaired message. The method, system and computer program product output the unimpaired message.

Abstract: A computer implemented method, system and computer program product are provided that implement a neural network (NN) audio filter. The method, system and computer program product obtain an electronic audio signal comprising a speech impaired message and apply the audio signal to the NN audio filter to modify the speech impaired message. The apply operation converts the audio signal into characters; and identifies and removes at least one of a repetitive pattern or duplicate word in the characters to form the unimpaired message. The unimpaired message is output.

Abstract: A computer implemented method, system and computer program product are provided that implement a neural network (NN) audio filter. The method, system and computer program product obtain an electronic audio signal comprising a speech impaired message and apply the audio signal to the NN audio filter to modify the speech impaired message to form an unimpaired message. The method, system and computer program product output the unimpaired message.

Abstract: In one aspect, a device may include a processor and storage accessible to the processor. The storage may include instructions executable by the processor to receive at least one image that indicates a first gesture being made by a person using a hand-based sign language, with at least part of the first gesture extending out of the image frame of the image. The instructions may then be executable to provide the image to a gesture classifier and to receive plural candidate first text words for the first gesture from the gesture classifier. The instructions may then be executable to use at least a second text word correlated to a second gesture to select one of the candidate first text words, combine the second text word with the selected first text word to establish a text string, and provide the text string to an apparatus different from the device.

Abstract: In one aspect, a device may include a processor and storage accessible to the processor. The storage may include instructions executable by the processor to receive at least one image that indicates a first gesture being made by a person using a hand-based sign language, with at least part of the first gesture extending out of the image frame of the image. The instructions may then be executable to provide the image to a gesture classifier and to receive plural candidate first text words for the first gesture from the gesture classifier. The instructions may then be executable to use at least a second text word correlated to a second gesture to select one of the candidate first text words, combine the second text word with the selected first text word to establish a text string, and provide the text string to an apparatus different from the device.

Abstract: One embodiment provides a method, including: receiving, on a keyboard of an information handling device, typing input from a user, wherein the typing input comprises at least one letter; determining, using a processor, at least one completion suggestion stemming from the at least one letter; and presenting, responsive to the determining, the at least one completion suggestion to the user, wherein the presented at least one completion suggestion comprises at least one animation portraying a signed motion corresponding to the at least one completion suggestion. Other aspects are described and claimed.