{"id":"openmoss-team-moss-transcribe-diarize","nom":"MOSS-Transcribe-Diarize","editeur":"OpenMOSS","pays":"Chine","poids_ouverts":true,"poids_selon":null,"licence":"Apache 2.0","licence_selon":null,"liens":{"page":"https://github.com/OpenMOSS/MOSS-Transcribe-Diarize","essayer":"https://huggingface.co/spaces/OpenMOSS-Team/MOSS-transcribe-diarize"},"fiche_auto":true,"page":"https://quelleia.com/voix/modeles/openmoss-team-moss-transcribe-diarize/","releve":"2026-10-19","en_bref":"37e sur 39 en transcription en français ; 26e sur 53 en transcription en anglais (Open ASR).","presentation":"MOSS-Transcribe-Diarize est un modèle audio de bout en bout qui transcrit en une seule passe des enregistrements longs à plusieurs locuteurs, avec horodatage et étiquettes de locuteurs. Il traite jusqu'à 90 minutes d'audio et accepte des mots-clés pour les termes spécialisés.","sortie":"2026-07-09","taille":"0,9 milliard de paramètres","langues":{"annoncees":{"annoncees":"plus de 50 langues, dont le français","nombre":50,"plus":true,"francais":true},"prises_en_charge_selon_open_tts":null,"evaluees":["fr","en"]},"preuves":[{"appuie":["presentation","taille"],"lu":"https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize/raw/main/README.md (« MOSS-Transcribe-Diarize 0.9B is an end-to-end audio understanding model for long-form multi-speaker transcription, diarization, timestamps, and acoustic event awareness. »), 17/10/2026"},{"appuie":["langues","presentation"],"lu":"https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize/raw/main/README.md (« It supports transcription and diarization across 50+ languages, single-pass inference on audio recordings up to 90 minutes long, and custom hotword prompting for domain-specific terms. »), 17/10/2026"},{"appuie":["sortie"],"lu":"https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize/raw/main/README.md (« 2026-07-09: Released MOSS-Transcribe-Diarize 0.9B. »), 17/10/2026"}],"classements":[{"id":"transcription/francais","nom":"Transcription en français","rang":37,"sur":39,"valeur":10.66,"unite":"%","chiffres":{"rtfx":250.03,"jeux":{"Common Voice":15.19,"FLEURS":8.53,"MLS":8.27}},"voisins":["google-gemma-4-e4b-it","microsoft-vibevoice-asr-hf"],"source":{"nom":"Open ASR Leaderboard","mention":"Source : Open ASR Leaderboard, Hugging Face","url":"https://huggingface.co/spaces/hf-audio/open_asr_leaderboard","releve":"2026-10-19"}},{"id":"transcription/open-asr-anglais","nom":"Transcription en anglais, Open ASR","rang":26,"sur":53,"valeur":6.17,"unite":"%","chiffres":{"rtfx":377.97,"jeux":{"AMI-Cleaned":8.33,"Earnings22-Cleaned-AA-chunked":6.09,"Gigaspeech-Cleaned":7.68,"LS Clean":1.66,"LS Other":4.16,"Private (conversational)":13.4,"Private (scripted)":4.68,"SPGISpeech":1.7,"URGENT24":12.74,"Voice Arena Monsoon":3.87,"Voxpopuli-AA-Cleaned":3.6}},"voisins":["ibm-granite-speech-4-1-2b-nar","alibaba-qwen3-asr-0-6b-hf"],"source":{"nom":"Open ASR Leaderboard","mention":"Source : Open ASR Leaderboard, Hugging Face","url":"https://huggingface.co/spaces/hf-audio/open_asr_leaderboard","releve":"2026-10-19"}}],"noms_dans_les_sources":{"hf_audio":"OpenMOSS-Team/MOSS-Transcribe-Diarize"}}