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Technology
Home›Technology›Ask HN: Real-time speech-to-speech translation

Ask HN: Real-time speech-to-speech translation

By Matthew Lynch
October 29, 2024
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For years, the promise of real-time speech-to-speech translation has tantalized us with its potential to break down language barriers. We’ve seen impressive advances in machine translation, but is the problem truly solved?

Here’s what I’m looking for:

Real-world experiences: Have you used any real-time speech-to-speech translation services? What was your experience like? Did it work well?
Technical challenges: What are the remaining hurdles in achieving seamless, accurate real-time translation? Is it a matter of improving algorithms, or are there fundamental limitations?
Future directions: What are the most promising research directions in speech-to-speech translation? How will these advancements impact the technology in the coming years?

I’m particularly interested in:

Accuracy: How accurate are current systems, especially in handling nuances of language, slang, and regional accents?
Latency: Can we achieve real-time translation with minimal delay, allowing for natural conversation flow?
Scalability: Can these systems handle multiple languages simultaneously, with reliable performance even in noisy environments?

Let’s discuss the state of real-time speech-to-speech translation, its current limitations, and its potential for the future.   

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Since technology is not going anywhere and does more good than harm, adapting is the best course of action. That is where The Tech Edvocate comes in. We plan to cover the PreK-12 and Higher Education EdTech sectors and provide our readers with the latest news and opinion on the subject. From time to time, I will invite other voices to weigh in on important issues in EdTech. We hope to provide a well-rounded, multi-faceted look at the past, present, the future of EdTech in the US and internationally.

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