Digital Nirvana Releases Trance 3.1

Digital Nirvana unveil several powerful new capabilities for Trance, the company’s enterprise-grade, cloud-based application for closed captioning and transcription.

With Trance 3.1, the company has added new features that use natural language processing (NLP) to automatically convert transcripts into captions and to automatically detect shot changes.

Trance unites cutting-edge speech-to-text technology and other AI-driven processes with cloud-based architecture to drive efficient broadcast and media workflows. Implementing cloud-based metadata generation and closed captioning as part of their existing operations, media companies can radically reduce the time and cost of delivering accurate, compliant content for publishing worldwide. They also can enrich and classify content, enabling more effective repurposing of media libraries and facilitating more intelligent targeting of advertising spots.

With Version 3.1, Trance is the industry’s first closed-captioning solution to offer NLP-based auto-conversion, which automatically converts transcripts into highly accurate, time-synched closed captions. As part of this exclusive feature, Trance automatically identifies music, silence, and other nontext audio and provides intelligent line breaks for captions. Previously, operators had to manually correct the awkward splitting of words that appeared at the end of lines or dangling punctuation. Now, Trance automatically moves such words to the next line and takes into account multiword proper names that should be kept together. For instance, if “New York” appears at the end of a caption line, Trance will move the full title to the next line. Robust presets and grammar rules ensure that lines do not start with misplaced punctuation, such as the apostrophe in a contraction (e.g., with the contraction “they’re,” Trance will move the entire word to the next line).

The latest version of Trance sets another industry standard with automatic shot change detection, including configurable thresholds for generating alerts when captions fall out of compliance. For instance, Trance can identify the end of a shot and ensure that captions belonging to the shot do not cross over. Besides, Trance 3.1 now includes a frame-rate conversion feature that automatically converts captions and video that is to be repurposed for multiple platforms. An example is a broadcaster that would like to repurpose a previously aired video for presentation on the network’s website. The captions would go out of sync when the footage was converted to the target frame rate, requiring the broadcaster to create an entirely new caption file manually. Trance automatically converts the original captions from 29.97 fps (for broadcast) and generates a new caption file with time codes in the 24.97 frame rate needed for web streaming. 

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