Digital Nirvana Introduces Metadata Automation Tool For News Broadcasters

Digital Nirvana has announced the availability of MetadataIQ for News, a new variation of its MetadataIQ SaaS-based automatic metadata generation tool.

MetadataIQ for News uses news-specific speech-to-text technology and machine learning capabilities to describe quickly the assets that appear in a news broadcaster’s feed. As a result, editors and producers can find what they need and create news shows more efficiently.

News providers get multiple news feeds from bureaus and other providers, such as The Associated Press. There can be as many as 100 continuous feeds at a time, depending on the size of the news organization. It is impossible for humans to keep up with tagging all that media. There are many speech-to-text engines on the market that can produce decent output on general-purpose language, but they tend to falter when it comes to identifying names and places that are in the news.

Unlike general-purpose STT engines, MetadataIQ for News was made just to handle news content. It ingests all feeds in real time and applies a speech-to-text engine that is fine-tuned for news production. Digital Nirvana uses its MonitorIQ automated broadcast monitoring application to ensure MetadataIQ for News continuously improves. Every day, MonitorIQ records multiple news channels, including the audio, which contains the proper pronunciation. Then, using AI, MonitorIQ automatically identifies all names and places, and feeds all the data back into the STT engine's dynamically updated vocabulary. This process is what makes MetadataIQ for News unique and able to generate highly accurate output.

Two major news organizations — one in the United States and another in the Middle East — have been testing these capabilities in their live news operations. They have found that applying ML technologies to their workflows yields automatically generated, highly accurate metadata more quickly and affordably than traditional methods, which translates to money, effort, and time savings. It also means better-structured, more detailed, and more accurate metadata and shorter content delivery cycles.

You might also like...

Compression: Part 12 - The Evolution Of Video Compression

Having considered all of the vital elements of moving image coding this final part looks at how these elements were combined throughout coding history.

Understanding The Client-Side OTT Customer Experience

The criticality of service assurance in OTT services is evolving quickly as audiences grow and large broadcasters double-down on their streaming strategies.

Motion Pictures: Part 5 - True Motion TV

Having looked at the traditional approach to moving pictures and found that the portrayal of motion was irremediably poor, thoughts turn to how moving pictures might be portrayed properly.

The Potential Impact Of Quantum Computing

Quantum Computing is still a developmental technology but it has the potential to completely transform more or less everything we currently assume regarding what computers can and can’t do - when it hits the mainstream what will it do…

OTT Monitoring From The Network Side

At its core, the network-side can be an early warning system for QoS, which in turn correlates to actual QoE performance.