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Real-Time Translation with Palabra's Artem Kukharenko and Ivan Kuzin
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Show Notes
In this episode, Palabra's Artem Kukharenko (Co-Founder) and Ivan Kuzin (Head of Business Development) join to discuss the Palabra real-time speech-to-speech translation technology, the inspiration behind Palabra, common misconceptions about AI translation, the balance between latency and accuracy, and the challenges of voice cloning and intonation. The conversation also covers the applications of their technology, user feedback, differentiation in a competitive market, privacy and data security, benchmarking, developer experience, and future advancements in AI and speech translation.
Key Topics Covered
- •Palabra's real-time speech-to-speech translation technology
- •Common misconceptions about AI translation
- •Balancing latency and accuracy in translation
- •Voice cloning and intonation challenges
- •Privacy and data security in translation services
- •Developer experience and future advancements
Episode Chapters & Transcript
Introduction & Palabra's Origin Story
Meet Artem and Ivan from Palabra as they share how language barriers in their travels led them to build real-time speech translation tech.
Misconceptions About Real-Time AI Translation
Ivan discusses common misunderstandings and how modern AI goes beyond traditional translator tools.
Optimizing Latency in Real-Time Translation
How Palabra predicts upcoming speech and manages latency with in-house models and sentence splitting.
Challenges of Voice Cloning and Emotion Across Languages
Artem explains the technical and cultural challenges in cloning voice and preserving emotion across languages.
AI and Code-Switching Superpowers
Why AI is more efficient than human interpreters when switching between multiple language pairs.
Industry Impact and Key Use Cases
Live events, social commerce, and livestreaming as early adopters of Palabra's tech—and why this market is growing fast.
Emotional Impact on End Users
Ivan shares a powerful story about how real-time translation transformed a sales pitch and enabled deeper human connection.
How Palabra Stands Out from Big Tech
Focusing on one problem—simultaneous interpretation—sets Palabra apart from general-purpose AI platforms.
Privacy, Data Sovereignty & On-Prem Options
How Palabra protects user privacy, offers self-hosted deployments, and gives enterprises peace of mind.
Benchmarks with a Human Touch
Beyond WER and BLEU scores—Palabra measures effectiveness using real human interpreters.
Customization for Enterprise & Industry
Palabra adapts its models, vocab, and APIs to suit customer needs, helping them reach new markets.
Docs, SDKs, and the Developer Experience
From WebRTC to SDKs—what developers can expect when integrating Palabra into their apps.
Fine-Tuning with Broader AI Capabilities
Palabra integrates with large translation models but specializes through optimization and custom pipelines.
The Future: Seamless, OS-Level AI Translation
Looking ahead to the next two to five years of AI-powered universal speech translation.
Unsupervised Learning & the Data Pipeline
Why unsupervised learning is the backbone of large AI models and how Palabra keeps its data clean.
Palabra and Downstream AI Reasoning
How users will expect real-time audio to be instantly localized—just like changing your website language.
If Not Translation—What’s Next?
Ivan and Artem share which other voice AI domains they’d bet on: dubbing and dialog systems.
Closing Thoughts: The Magic of Real-Time Voice
Hermes reflects on the journey of voice AI and virtual events—complete with multilingual VR conferences about cows.
Click on any chapter to view its transcript content • Download full transcript
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