AI STS Stack for underserved languages paper

A developer evaluated real-time voice AI stacks for underserved languages, comparing latency and accuracy of various speech-to-text, text-to-speech, and translation models. The analysis found that a combination of Whisper for STT, a lightweight translation model, and a neural TTS system achieved the best balance for low-resource languages.

Article URL: https://kamalg2.substack.com/p/choosing-a-real-time-voice-ai-stack Comments URL: https://news.ycombinator.com/item?id=48814001 Points: 1 Comments: 0