Launching Gradium Translate: the best accuracy-latency tradeoff against gemini-3.5-live-translate and gpt-realtime-translate

Gradium has introduced two innovative models, stt-translate and s2s-translate, to enhance real-time speech translation by combining transcription and translation into a seamless process. The stt-translate model efficiently converts spoken language into translated text across five languages without the need for intermediate transcription, while s2s-translate extends this capability to deliver end-to-end Speech-To-Speech translation by directly transforming spoken audio in one language to another using a Text-To-Speech (TTS) model. These models aim to surpass traditional three-stage translation processes by offering superior accuracy and reduced latency, as evidenced by benchmarking against gpt-realtime-translate and gemini-3.5-live-translate with higher BLEU and MetricX scores. Additionally, s2s-translate offers customizable voice output, allowing users to select or clone voices for the translated speech, thereby maintaining speaker identity and facilitating applications like dubbing and localization. This streamlined two-model architecture not only minimizes processing time but also enhances user control over the translation process, offering a significant improvement over existing solutions.

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