Abstract: A computer-implemented method, system and computer program product for providing high quality speech recognition. A first speech-to-text model is selected to perform speech recognition of a customer's spoken words and a second speech-to-text model is selected to perform speech recognition of the agent's spoken words during a call. The combined results of the speech-to-text models used to process the customer's and agent's spoken words are then analyzed to generate a reference speech-to-text result. The customer speech data that was processed by the first speech-to-text model is reprocessed by multiple other speech-to-text models. A similarity analysis is performed on the results of these speech-to-text models with respect to the reference speech-to-text result resulting in similarity scores being assigned to these speech-to-text models.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems to for generating a chatbot that facilities discussion. Embodiments of the present invention, can be used to receive user input comprising user generated text and rate the received user input based on characteristics identified in the received user input. Embodiments of the present invention can further determine a thinking pattern based on the rated user input. Embodiments of the present invention can further generate a chat bot interface that facilitates ideation based on the determined thinking pattern.

Abstract: A computer-implemented method, system and computer program product for providing high quality speech recognition. A first speech-to-text model is selected to perform speech recognition of a customer's spoken words and a second speech-to-text model is selected to perform speech recognition of the agent's spoken words during a call. The combined results of the speech-to-text models used to process the customer's and agent's spoken words are then analyzed to generate a reference speech-to-text result. The customer speech data that was processed by the first speech-to-text model is reprocessed by multiple other speech-to-text models. A similarity analysis is performed on the results of these speech-to-text models with respect to the reference speech-to-text result resulting in similarity scores being assigned to these speech-to-text models.

Abstract: An approach is provided in which a system receives a first meme sent from a first user that is targeted to a second user. The system transforms the first meme into a second meme based on analyzing the first meme against a first user profile data corresponding to the first user and a second user profile data corresponding to the second user. The transforming includes replacing at least one element of the first meme with a second element in the second meme. The system, in turn, sends the transformed second meme to the second user.

Abstract: One or more frames within a video are segmented and classified according to information type. At least a portion of the information in the one or more frames is determined to be obscured. In response to this determination, information from audio data and the unobscured portion of the one or more frames is extracted. Using this extracted information, a set of replacement data is generated, according to the information type, for the obscured information in the one or more frames. The set of replacement data and the unobscured portion of the one or more frames is merged into one or more composite frames. These composite frames are displayed to a user.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems to for generating a chatbot that facilities discussion. Embodiments of the present invention, can be used to receive user input comprising user generated text and rate the received user input based on characteristics identified in the received user input. Embodiments of the present invention can further determine a thinking pattern based on the rated user input. Embodiments of the present invention can further generate a chat bot interface that facilitates ideation based on the determined thinking pattern.

Abstract: One or more frames within a video are segmented and classified according to information type. At least a portion of the information in the one or more frames is determined to be obscured. In response to this determination, information from audio data and the unobscured portion of the one or more frames is extracted. Using this extracted information, a set of replacement data is generated, according to the information type, for the obscured information in the one or more frames. The set of replacement data and the unobscured portion of the one or more frames is merged into one or more composite frames. These composite frames are displayed to a user.

Abstract: An approach is provided in which a system receives a first meme sent from a first user that is targeted to a second user. The system transforms the first meme into a second meme based on analyzing the first meme against a first user profile data corresponding to the first user and a second user profile data corresponding to the second user. The transforming includes replacing at least one element of the first meme with a second element in the second meme. The system, in turn, sends the transformed second meme to the second user.

Abstract: This disclosure provides a method and system for pre-processing an E-book, wherein the E-book comprises text pages in scanned format and annotation pages in scanned format and the annotation pages contain annotation items for explaining text elements in the text pages. The method comprises: extracting annotations from the annotation items; identifying annotated elements from the text pages, wherein an annotated element is a text element that may be determined to be associated with one of the annotations; defining positions on the text pages for the annotated elements respectively; and storing the positions and the annotations. The positions and the annotations are correlated according to their relationship with the annotated elements.

Abstract: Testing a broken point in a web application automatic test case is performed by a system that includes a recording module configured to, when the test case runs, for a step in the test case, record a web page output corresponding to the step, and information of an element manipulated by the step. The web page output has an annotation for identifying the web page output. The system also includes a rendering engine module configured to, after the web application has been updated, for the recorded step, render a web page output of the updated web page with the same annotation. The system also includes a detecting module configured to detect whether the rendered web page output of the updated web page contains the element manipulated by the recorded step, and determine the step as a broken point when the rendered web page output does not contain the element.