Live Closed Captioning Appliance

Save 40-80% over the costs of manual captioning

AppTek’s language technology breakthrough revolutionizes the closed captioning process. The Live Captioning Appliance is a cost effective, fully functional server installed with AppTek’s automatic speech recognition (ASR) media software that delivers fully automated, same-language captions for live content with accuracy and speed that match or exceed human captioning.

  • Save money – Automates expensive, time-consuming manual tasks of transcribing and captioning programming.

  • Improve content management – Maintains accuracy and consistency across all content channels through automatic transcription and translation.

  • Create rich metadata – Search engine optimization for archives, websites, news departments, program libraries, etc.

  • Faster time to market and faster return on investment – Leverage one single platform with less upfront work across multiple enterprise applications

Fast & Accurate
Live Captioning

The Live Captioning Appliance uses AppTek’s Automatic Speech Recognition (ASR) to deliver fully automated, same-language captions for live content in English, Spanish and Arabic (Chinese and Portuguese are in pre-release development).  The appliance was developed for and trained on broadcast news, sports, weather, and other factual programming.

Accuracy up to 95% with training
95%

Live Appliance Features

  • Real-time processing with speaker recognition, speech segmentation and non-speech detection

  • Text Natural Language Processing (NLP) for grammatical breaks and capitalization

  • Outputs the standard captioning key formats (.srt, .stl, .scc, and others)

  • Configurable with AppTek Translate for the creation of subtitles in multiple languages

  • For stations with a “Digital First” strategy the Live Captioning Appliance can be used offline to create captions & subtitles for web-stream news content ahead of the scheduled TV newscast.

  • Content with existing captions & subtitles can be processed offline to re-align & sync CC text to audio.

  • Allows existing transcripts to be synchronized with the source audio making time-stamped text that is fully searchable

  • Offline editing and adaptation – AppTek’s Media Workbench incorporates machine learning and is available for offline post-editing and adaptation to improve quality of recognition and output.

  • A cloud-based multilingual platform allowing for a distributed workforce of transcribers and translators to post-edit simultaneously.

  • Text-to-Speech transcript timing for Voice-Over script adaptation

AppTek Supported Languages for ASR and HMT Technologies