Panjaya has announced that it is previewing a next-generation live AI dubbing technology leveraging NVIDIA Holoscan for Media at IBC2026 in Amsterdam.
The technology, which is currently in development, combines Panjaya’s proprietary speech engine with technologies in the NVIDIA Holoscan for Media developer toolkit, bringing emotionally faithful AI dubbing into the live broadcast environment for the first time.
Visitors to IBC will be able to experience two parts of Panjaya’s technology: its cinematic speech, already being used by selected broadcasters, streamers and media companies worldwide, and the emerging live dubbing technology being developed in collaboration with NVIDIA.
Together, the companies are demonstrating how the same advanced technology that enables Panjaya’s cinematic-quality dubbing can be extended into live workflows, enabling sports, news, entertainment and other broadcasts to be localised into multiple languages in real time.
From Cinematic Dubbing to Live Broadcasting
Panjaya’s proprietary speech engine was developed specifically to address one of the biggest challenges in AI dubbing: preserving not just what a person says, but how they say it.
Unlike general-purpose speech systems designed primarily for fluent voice generation, Panjaya’s technology is built around the original human performance, with the goal of retaining the speaker’s emotion, personality, intensity, timing and character when rendered in another language.
The cinematic AI dubbing is already available and is currently being used by selected broadcasters, streaming platforms and media companies, as the industry explores how AI can deliver high-quality localisation at significantly greater scale.
Bringing AI Dubbing into the Live Media Pipeline
The live dubbing technology is currently in development. By integrating NVIDIA Holoscan for Media technologies into Panjaya’s speech solution, the companies are developing AI dubbing to operate directly within professional live media workflows.
NVIDIA Holoscan for Media gives developers the tools, components and reference architectures to build the next generation of AI-powered live media applications, infrastructure and workflows. The collaboration creates the foundation for a future in which a single live broadcast could potentially be delivered simultaneously to audiences around the world in their own languages, without the traditional process of creating separate localised productions.
A live sporting event could be heard in multiple languages as it happens. A breaking-news interview could reach international audiences immediately. A global entertainment event could potentially be experienced across markets without waiting for post-production localisation.
“The future of global broadcasting will go beyond distributing the same content everywhere; it will be about making that content feel native everywhere,” said Guy Piekarz, CEO of Panjaya. “Our speech engine has demonstrated what is possible when AI preserves the emotion and character of a human performance. With NVIDIA Holoscan for Media, we are bringing that same level of fidelity into live broadcasting.”
NVIDIA Holoscan for Media allows developers to create accelerated applications, runtime environments, distributed media functions and integrated workflows using NVIDIA’s developer toolkit designed for the future of software-defined broadcast. By leveraging the toolkit, Panjaya opens a path towards real-time multilingual broadcasting that does not treat language as an afterthought, but as part of the live production workflow itself.
“Live localisation will fundamentally change how broadcasters think about global distribution,” said Richard Kerris, Vice President and General Manager of Media and Entertainment at NVIDIA. “Panjaya’s differentiated approach to AI dubbing that focuses on preserving the character and emotion of the original performance, together with NVIDIA Holoscan for Media, is changing what’s possible when that technology is brought directly into live media workflows.”
The opportunity is significant: rather than localisation being a separate post-production process, AI could ultimately become part of the live production infrastructure itself.
For broadcasters and content owners, that could mean making live sports, breaking news, global events and live entertainment accessible to audiences in multiple languages, while preserving the emotion and character of the original performance.
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