Abstract: The present disclosure relates to generating and adjusting translated audio from a video-based source. The method includes receiving video data and corresponding audio data in a first language; generating a translated preliminary transcript in a second language; aligning timing windows of portions of the translated preliminary transcript with corresponding segments of the audio data; determining portions of the translated aligned transcript in the second language that exceed a timing window range of the corresponding segments of the audio data in the first language to generate flagged transcript portions; transmitting the original transcript, the translated aligned transcript, and the first speech dub to a first device, the generated flagged transcript portions included in the original transcript and the translated aligned transcript; receiving, from the first device, a modified original transcript; and generating, based on the modified original transcript, a second speech dub in the second language.

Abstract: The present disclosure relates to generating and adjusting translated audio from a video-based source. The method includes receiving video data and corresponding audio data in a first language; generating a translated preliminary transcript in a second language; aligning timing windows of portions of the translated preliminary transcript with corresponding segments of the audio data; determining portions of the translated aligned transcript in the second language that exceed a timing window range of the corresponding segments of the audio data in the first language to generate flagged transcript portions; transmitting the original transcript, the translated aligned transcript, and the first speech dub to a first device, the generated flagged transcript portions included in the original transcript and the translated aligned transcript; receiving, from the first device, a modified original transcript; and generating, based on the modified original transcript, a second speech dub in the second language.

Abstract: The present invention includes a Computer-based Training system (CBT) having one or more Application Translation Units (ATUs), a Message Engine, and a Script Engine. For one or more target applications of interest, an ATU is provided for processing events specific to that application, thereby trapping events and translating them into abstract messages or "meta-messages" for conveying information about a particular event to the system. A computer-aided software testing embodiment of the present invention is also described. The system provides prefabricated building blocks for constructing a high-level model of an application's User Interface (UI). This high-level model serves as a middle ground between test scripts and the application being tested. The knowledge of how a given UI element is controlled or how it can be observed is retained in the model rather than in a test script. Consequently, the test script consists of easy-to-maintain, high-level testing commands only.