{"id":"ibm-granite-speech-4-1-2b-nar","nom":"Granite-Speech-4.1-2B-NAR","editeur":"IBM","pays":"États-Unis","poids_ouverts":true,"poids_selon":null,"licence":"Apache 2.0","licence_selon":null,"liens":{"page":"https://huggingface.co/ibm-granite/granite-speech-4.1-2b-nar"},"fiche_auto":false,"page":"https://quelleia.com/voix/modeles/ibm-granite-speech-4-1-2b-nar/","releve":"2026-10-19","en_bref":"20e sur 39 en transcription en français ; 25e sur 53 en transcription en anglais (Open ASR).","presentation":"Variante non autorégressive de Granite Speech 4.1 2B, publiée avec ses poids, qui corrige en une seule passe une première transcription au lieu de produire le texte mot après mot. IBM la destine aux usages où la vitesse compte plus que la précision maximale ; elle ne fait que la transcription.","sortie":"2026-04","langues":{"annoncees":{"annoncees":"5 langues, dont le français","nombre":5,"francais":true,"liste":["en","fr","de","es","pt"]},"prises_en_charge_selon_open_tts":null,"evaluees":["fr","en"]},"preuves":[{"appuie":["presentation"],"lu":"https://huggingface.co/ibm-granite/granite-speech-4.1-2b-nar/raw/main/README.md (« Granite-Speech-4.1-2B-NAR is a non-autoregressive (NAR) speech recognition model that formulates ASR as conditional transcript editing. »), 17/10/2026"},{"appuie":["presentation"],"lu":"https://huggingface.co/ibm-granite/granite-speech-4.1-2b-nar/raw/main/README.md (« Instead of decoding tokens one at a time, it edits a CTC hypothesis in a single forward pass using a bidirectional LLM, achieving competitive accuracy with faster inference than autoregressive alternatives. »), 17/10/2026"},{"appuie":["sortie"],"lu":"https://huggingface.co/ibm-granite/granite-speech-4.1-2b-nar/raw/main/README.md (« **Release Date**: April 2026 »), 17/10/2026"},{"appuie":["langues"],"lu":"https://huggingface.co/ibm-granite/granite-speech-4.1-2b-nar/raw/main/README.md (« **Supported Languages:** English, French, German, Spanish, Portuguese »), 17/10/2026"}],"classements":[{"id":"transcription/francais","nom":"Transcription en français","rang":20,"sur":39,"valeur":5.4,"unite":"%","chiffres":{"rtfx":1510.5,"jeux":{"Common Voice":6.38,"FLEURS":6.24,"MLS":3.58}},"voisins":["nvidia-parakeet-tdt-0-6b-v3","alibaba-qwen3-asr-1-7b-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":25,"sur":53,"valeur":6.1,"unite":"%","chiffres":{"rtfx":2069.53,"jeux":{"AMI-Cleaned":6.96,"Earnings22-Cleaned-AA-chunked":6.67,"Gigaspeech-Cleaned":8.61,"LS Clean":1.04,"LS Other":2.4,"Private (conversational)":14.34,"Private (scripted)":4.21,"SPGISpeech":3.23,"URGENT24":11.19,"Voice Arena Monsoon":4.24,"Voxpopuli-AA-Cleaned":4.25}},"voisins":["nvidia-parakeet-tdt-0-6b-v3","openmoss-team-moss-transcribe-diarize"],"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":"ibm-granite/granite-speech-4.1-2b-nar"}}