Speaker 1: My name is Pranay Mahajan. I am an application engineering manager with Intera Systems. In this short video tutorial, I'll talk about an awesome feature in beaten captions that allows users to validate captions and subtitles against the audio to detect alignment, issues and autocorrect them. Beaten captions is an automated solution for all kinds of captioning needs, allowing broadcasters, streaming service providers and media professionals to address requirements from caption and subtitle generation, quality control, autocorrection, review, editing, transcoding and more. Leveraging cutting-edge machine learning and technologies like automatic speech recognition, speech-to-text, natural language processing, diarization, speaker recognization, intelligent sentence segmentation, punctuation handling, domain-specific custom dictionaries and more, beaten captions brings simplicity and cost savings to the creation, management and delivery of captions and subtitles for traditional TV and video streaming services. Let's have a quick look at the beaten caption UI to demonstrate this feature. Quality control tasks can be submitted by selecting the check caption quality option. In the subsequent screen, users can input media file information. For caption or subtitle file, user can select the embedded captions or provide the path of sidecar caption or subtitle file. If caption language is same as audio, user can select the option for select caption language as same as primary. Otherwise, they can select the appropriate subtitle language. Optionally, user can select the QC scheme that is used to define the list of checks against which the content needs to be validated. These checks include machine learning-based media synchronization checks, metadata checks, positional checks, conformance checks and more. The desired checks can be enabled along with the validation rules. For checks that support auto-correction, optional check boxes to trigger auto-correction can be enabled as per the workflow requirement. Once a QC task completes, beaten caption presents a detailed report which can be accessed as a JSON report for automated workflows or PDF or browser-based HTML report for human consumption. You are viewing the summary page of the QC report on your screens. The detailed report provides exact information about the error along with start and end time and exact utterance text. Furthermore, the beaten captions generated report can be optionally reviewed or edited in the beaten media player application. Post QC task completion and optional review and edit step, the output corrected reports can be exported to desired sidecar formats. Some output settings like frame rate, start time offset, new line character, paint style and timestamp format can also be modified during the export task. Beaten caption is a cloud-ready Linux-based solution with support for embedded and sidecar caption and subtitle formats. The language, format and feature support are continuously being enhanced with our client needs. I hope this session was informative. If you want to learn more details or schedule an evaluation, you can reach out to your account manager or contact us at the information mentioned on your screens. Cheers.