https://www.communeify.com/en/tag/keep/Communeify - Your Community PlatformHugohttps://www.communeify.com/en/blog/moss-transcribe-diarize-end-to-end-sats-multi-speaker/https://www.communeify.com/en/blog/moss-transcribe-diarize-end-to-end-sats-multi-speaker/Fri, 09 Jan 2026 08:54:46 +0800 OpenMOSS team released MOSS-Transcribe-Diarize at the beginning of 2026, an end-to-end multimodal large language model. It not only performs accurate speech transcription but also solves the long-standing problems of “multi-person overlapping dialogue” and “emotional speech” recognition. This article takes you deep into how this technology surpasses GPT-4o and Gemini and its practical application in complex speech scenarios. (This article is a reserved post and will be updated later) Have you ever had this experience? When reviewing video conference recordings or organizing interview audio, once two or three people speak at the same time, the subtitle software starts “speaking gibberish,” producing a pile of unintelligible text. Even when the speaker uses some dialect or gets emotional, AI often just waves the white flag.