# Transcription en anglais, Open ASR, édition du 9 novembre 2026

Tableau repris tel que Open ASR Leaderboard le publie : taux d'erreur par mot en anglais, moyenne de onze jeux dont deux privés (réunions, appels, discours, livres audio, bruit), plus bas est meilleur. Aucun score de QUELLE IA, aucun score combiné. Édition du 9 novembre 2026, relevé repris du 19 octobre 2026.

| Rang | Modèle | Éditeur | Valeur (%) |
| ---: | --- | --- | --- |
| 1 | [speech-v3.1](https://quelleia.com/voix/modeles/otterai-speech-v3-1/) | Otter.ai | 4,55 |
| 2 | [Zoom Scribe V2 Pro](https://quelleia.com/voix/modeles/zoom-scribe-v2-pro/) | Zoom | 4,70 |
| 3 | [Azure LLM Speech 07 2026](https://quelleia.com/voix/modeles/microsoft-azure-speech-07-2026/) | Microsoft | 5,02 |
| 4 | [Multilingual Fast Transcription](https://quelleia.com/voix/modeles/modulate-multilingual/) | Modulate | 5,06 |
| 5 | [Resonant-1](https://quelleia.com/voix/modeles/resonant-1/) | Reson8 | 5,21 |
| 6 | [Sophea ASR K1](https://quelleia.com/voix/modeles/sophea-asr-k1/) | Sophea AI | 5,23 |
| 7 | [Scribe v2](https://quelleia.com/voix/modeles/scribe-v2/) | ElevenLabs | 5,24 |
| 8 | [Universal-3.5 Pro](https://quelleia.com/voix/modeles/assemblyai-universal-3-5-pro/) | AssemblyAI | 5,39 |
| 9 | [Qwen3-ASR-1.7B-hf](https://quelleia.com/voix/modeles/alibaba-qwen3-asr-1-7b-hf/) | Alibaba | 5,40 |
| 10 | [Smallest AI Pulse](https://quelleia.com/voix/modeles/smallest-ai-pulse/) | Smallest AI | 5,71 |
| 11 | [Cohere Transcribe](https://quelleia.com/voix/modeles/cohere-transcribe/) | Cohere | 5,77 |
| 12 | [Symphony](https://quelleia.com/voix/modeles/sprag-symphony/) | Sprag | 5,84 |
| 13 | [Hojo-ASR-V1](https://quelleia.com/voix/modeles/hojo-asr-v1/) | HojoAi | 5,85 |
| 14 | [TheWhisper-Large-V3-Turbo](https://quelleia.com/voix/modeles/thestageai-thewhisper-large-v3-turbo/) | TheStage AI | 5,91 |
| 15 | [ARK-ASR-3B](https://quelleia.com/voix/modeles/edge0-ark-asr-3b/) | Edge0 | 5,92 |
| 15 | [Higgs Audio v3 STT](https://quelleia.com/voix/modeles/boson-ai-higgs-audio-v3-stt/) | Boson AI | 5,92 |
| 17 | [ARK-ASR-0.6B](https://quelleia.com/voix/modeles/edge0-ark-asr-0-6b/) | Edge0 | 5,93 |
| 18 | [Canary Qwen 2.5B](https://quelleia.com/voix/modeles/canary-qwen-2-5b/) | NVIDIA | 5,94 |
| 19 | [GPT Transcribe](https://quelleia.com/voix/modeles/gpt-transcribe/) | OpenAI | 5,96 |
| 19 | [Granite Speech 4.1 2B](https://quelleia.com/voix/modeles/ibm-granite-speech-4-1-2b/) | IBM | 5,96 |
| 21 | [Parakeet TDT 0.6B V2](https://quelleia.com/voix/modeles/parakeet-tdt-0-6b-v2/) | NVIDIA | 5,98 |
| 22 | [Solaria-3](https://quelleia.com/voix/modeles/solaria-3/) | Gladia | 5,99 |
| 23 | [Granite Speech 5.0 470M TurboCTC NC](https://quelleia.com/voix/modeles/ibm-granite-speech-5-0-470m-turboctc-nc/) | IBM | 6,02 |
| 24 | [Parakeet TDT 0.6B V3](https://quelleia.com/voix/modeles/nvidia-parakeet-tdt-0-6b-v3/) | NVIDIA | 6,08 |
| 25 | [Granite-Speech-4.1-2B-NAR](https://quelleia.com/voix/modeles/ibm-granite-speech-4-1-2b-nar/) | IBM | 6,10 |
| 26 | [MOSS-Transcribe-Diarize](https://quelleia.com/voix/modeles/openmoss-team-moss-transcribe-diarize/) | OpenMOSS | 6,17 |
| 27 | [Qwen3-ASR-0.6B-hf](https://quelleia.com/voix/modeles/alibaba-qwen3-asr-0-6b-hf/) | Alibaba | 6,24 |
| 28 | [Muse Voice Transcribe](https://quelleia.com/voix/modeles/meta-muse-voice-transcribe/) | Meta | 6,30 |
| 29 | [Granite-Speech-5.0-470M-TurboCTC](https://quelleia.com/voix/modeles/ibm-granite-speech-5-0-470m-turboctc/) | IBM | 6,38 |
| 29 | [Voxtral Small](https://quelleia.com/voix/modeles/voxtral-small/) | Mistral AI | 6,38 |
| 31 | [Granite 4.0 1B Speech](https://quelleia.com/voix/modeles/ibm-granite-4-0-1b-speech/) | IBM | 6,41 |
| 32 | [Nemotron ASR Streaming](https://quelleia.com/voix/modeles/nvidia-nemotron-speech-streaming-en-0-6b/) | NVIDIA | 6,60 |
| 33 | [Distil-Large-v3.5](https://quelleia.com/voix/modeles/distil-large-v3-5/) | Hugging Face | 6,76 |
| 34 | [Zipformer CR-CTC Transducer XL 290M](https://quelleia.com/voix/modeles/soundsgoodai-zipformer-cr-ctc-transducer-xl-290m/) | SoundsGoodAI | 6,82 |
| 35 | [Phonon-2](https://quelleia.com/voix/modeles/fermionresearch-phonon-2/) | Fermion Research | 6,87 |
| 36 | [Whisper Large v3](https://quelleia.com/voix/modeles/whisper-large-v3/) | OpenAI | 7,16 |
| 37 | [Fun-ASR-Nano-2512-hf](https://quelleia.com/voix/modeles/funaudiollm-fun-asr-nano-2512-hf/) | FunAudioLLM | 7,24 |
| 38 | [Voxtral Mini](https://quelleia.com/voix/modeles/voxtral-mini/) | Mistral AI | 7,25 |
| 39 | [Canary 1B v2](https://quelleia.com/voix/modeles/nvidia-canary-1b-v2/) | NVIDIA | 7,27 |
| 40 | [Parakeet CTC 1.1B](https://quelleia.com/voix/modeles/nvidia-parakeet-ctc-1-1b/) | NVIDIA | 7,40 |
| 41 | [Whisper Large v3 Turbo](https://quelleia.com/voix/modeles/whisper-large-v3-turbo/) | OpenAI | 7,64 |
| 42 | [OWSM-CTC v4](https://quelleia.com/voix/modeles/espnet-owsm-ctc-v4-1b/) | ESPnet | 8,08 |
| 43 | [omniASR-LLM-7B-v2](https://quelleia.com/voix/modeles/meta-omniasr-llm-7b-v2/) | Meta | 8,13 |
| 44 | [VibeVoice-ASR-HF](https://quelleia.com/voix/modeles/microsoft-vibevoice-asr-hf/) | Microsoft | 8,16 |
| 45 | [Audio8-ASR-0.1B](https://quelleia.com/voix/modeles/edge0-audio8-asr-0-1b/) | Edge0 | 8,29 |
| 46 | [Voxtral Mini 4B Realtime](https://quelleia.com/voix/modeles/voxtral-mini-4b-realtime/) | Mistral AI | 8,44 |
| 47 | [niagara-84m-batch.en](https://quelleia.com/voix/modeles/abr-ai-niagara-84m-batch-en/) | Applied Brain Research | 9,69 |
| 48 | [Nemotron 3.5 ASR](https://quelleia.com/voix/modeles/nvidia-nemotron-3-5-asr-streaming-0-6b/) | NVIDIA | 9,75 |
| 49 | [niagara-38m-batch.en](https://quelleia.com/voix/modeles/abr-ai-niagara-38m-batch-en/) | Applied Brain Research | 11,14 |
| 50 | [omniASR-CTC-7B-v2](https://quelleia.com/voix/modeles/meta-omniasr-ctc-7b-v2/) | Meta | 11,50 |
| 51 | [Gemma 4 E4B](https://quelleia.com/voix/modeles/google-gemma-4-e4b-it/) | Google | 11,86 |
| 52 | [niagara-19m-batch.en](https://quelleia.com/voix/modeles/abr-ai-niagara-19m-batch-en/) | Applied Brain Research | 12,97 |
| 53 | [niagara-9m-batch.en](https://quelleia.com/voix/modeles/abr-ai-niagara-9m-batch-en/) | Applied Brain Research | 16,20 |

- Source : Open ASR Leaderboard, Hugging Face : https://huggingface.co/spaces/hf-audio/open_asr_leaderboard (relevé du 19 octobre 2026)

Source : QUELLE IA, édition du 9 novembre 2026, quelleia.com, d'après Open ASR Leaderboard.