Perspective | Deepdub: AI-Assisted Dubbing Is a Gamechanger for FAST

Perspective | Deepdub: AI-Assisted Dubbing Is a Gamechanger for FAST

In the land of FAST channels, platforms adopting AI-assisted dubbing reach broader audiences
and have a faster time to market, ultimately boosting their ad revenues

August 14, 2023 | In the competitive FAST landscape where revenue streams are ad-based and the battle for viewers’ attention is fierce, channels must offer more than just consistent content volume; it should be linguistically tailored to their viewers’ preferences.

Oz Krakowski, Deepdub

Fortunately, the FAST distribution model, which Statista estimates will generate $11.8 billion in ad revenue globally by 2027, and Artificial Intelligence (AI) are growing in tandem. The entertainment realm is increasingly embracing AI-assisted dubbing, seeing its undeniable potential in bolstering viewer engagement and loyalty. In a dynamic era where audiences crave varied, multilingual content, AI-assisted dubbing stands out. Consider the success of international shows like “Money Heist” or “Dark” – with AI dubbing, such content can be adapted  for global viewers faster and more cost-effectively.

AI-assisted Dubbing: The Industry’s Game Changer

AI-assisted dubbing is revolutionizing the reach of global content by offering scalable and economical adaptation solutions for multiple languages. Let’s see how:
> Script Translation: Conventionally, human linguists and translators are essential, with translation times ranging from hours to days based on the intricacy of the content. However, with AI-assisted dubbing powered by machine learning, content can be rapidly translated into various languages. Still, for translations that demand cultural nuances and sensitivity, human supervision remains crucial.
> Voice Casting: In the traditional casting process, selection hinges on voice actors’ availability and can take days or even weeks to find the appropriate voices for each character. In the AI-assisted approach, the AI system has a broad library of voices, allowing a quick selection and assignment.
> Recording Sessions: Traditionally, dubbing processes require studio time and hinge on the availability of voice actors. These sessions can extend over several days, with multiple sessions sometimes required. In the AI-assisted dubbing approach, the “recording” or synthesis can be accomplished within seconds to hours, contingent on the content’s duration and genre.
> Quality Control and Retakes: When discrepancies arise, voice actors may have to do retakes for corrections, extending the overall process. With the AI-assisted dubbing approach, adjustments are swiftly executed by instantly regenerating the audio.
> Post-Processing (e.g., editing, syncing): Traditionally, human editors may invest hours in refining and synchronizing voiceovers with on-screen activities. The AI-assisted process can automatically align the AI-generated voice with the visuals, significantly reducing time spent.

Leveraging machine learning, AI-assisted dubbing swiftly translates and dubs content. For example, a 90-minute movie script that might traditionally take six to 10 weeks to localize into a single language, can be done in under 60 percent of the time using AI-assisted methods. With some specific genres, the entire localization process can even drop into just a few days. While human involvement remains essential for detailed dubbing projects, Deepdub’s technology reduces dubbing and mixing times by up to 60 percent on average. Collaborating with language experts ensures the content captures cultural nuances and idioms, revolutionizing global content distribution.

How is AI-Powered Dubbing Taking FAST Channels to the Next Level?

> Scalability: AI’s adoption in FAST channels owes much to its scalability. In the fierce battle for viewers, rapidly launching a channel in a new territory becomes a significant advantage.
> Efficiency: As the digital content sphere grows crowded, supplying captivating content consistently becomes essential. Traditional dubbing, being time and resource-intensive, often acts as a bottleneck. AI-assisted dubbing, however, can efficiently localize content. For instance, a content owner that wishes to launch a new FAST channel in a new territory, will usually have to localize 150-200 hours of content, and the ability to start monetizing on that content will rely on the ability to complete the localization process for the local language. Using traditional methods this may take over 12 months, however using AI-assisted methods that time frame could drop to under 4 months.
> Cost Control: Many content owners with vast libraries that contain hundreds and thousands of hours of content, are intrigued by how they can use FAST channels to monetize on that content. Beyond the technical challenges of launching a FAST channel, the cost of localization emerges as a significant barrier. AI-assisted dubbing is key to substantially reducing these costs by up to 90 percent, depending on the territory and target language, enabling content accessibility across different regions of the world.

The Future of AI-assisted Dubbing and FAST Channels

In the land of FAST channels, platforms adopting AI-assisted dubbing reach broader audiences and faster time to market, ultimately boosting their ad revenues.

Key players in entertainment are realizing that AI-assisted dubbing isn’t just an innovative tool, but a necessity to curb viewer and advertiser drop-offs. By helping eradicate language barriers, it guarantees a more diverse content palette for audiences. This variety not only heightens viewer experience but also fosters  loyalty, a cornerstone for maintaining and augmenting viewership in today’s age.

The trajectories of AI-assisted dubbing and FAST channels are unmistakably linked. As the former keeps refining through ongoing breakthroughs in machine learning and language processing, its role in shaping FAST channels’ content strategies becomes even more pivotal.


Oz Krakowski is Chief Revenue Officer of Deepdub.
Deepdub aims to bridge the language barrier and cultural gap of entertainment experiences for international audiences across TV, film, advertising, gaming and e-learning. The company provides high-quality, end-to-end localization solutions for the entertainment industry, using deep learning and AI algorithms. Deepdub’s team consists of technology entrepreneurs, engineers, and scientists, as well as dubbing and post-production specialists with extensive industry experience.
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