
DeepL's Aure model carries speaker tone into real-time translation
Aure runs in DeepL Voice meetings, in-person mode, and the API across eight languages, replacing a static voice sample.
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Aure runs in DeepL Voice meetings, in-person mode, and the API across eight languages, replacing a static voice sample.
DirectSpeech2LLM cuts speech-LLM prompt overfitting, generalizing from ASR-only training to translation and emotion tasks.

Alibaba's Qwen team launched Qwen3.8-LiveTranslate, a real-time speech translation model cutting average lag from 2.8 to 2.3 seconds across 60 languages.
Kraken speech-to-speech translation model builds on Qwen3-8B with low-bitrate vector quantization and source-conditioned vocoding.
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