Building a Privacy-First Speech Translation System (Without Sending Audio to the Cloud)
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When we first started building a real-time speech translation platform, we assumed translation quality would be the hardest problem. It wasn't. The real challenge was deciding where the conversation should be processed. Most speech translation applications send audio to cloud APIs for speech recognition, translation, and speech synthesis. That approach is fast to build and works well for many consumer applications. But it raises an obvious question for enterprise software: What if the…
1Key Takeaways
- When we first started building a real-time speech translation platform, we assumed translation quality would be the hardest problem.
- The real challenge was deciding where the conversation should be processed.
- Most speech translation applications send audio to cloud APIs for speech recognition, translation, and speech synthesis.
- That approach is fast to build and works well for many consumer applications.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that when we first started building a real-time speech translation platform, we assumed translation quality would be the hardest problem.
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