Leaderboard
WER AMI
wer-amiRecord
- Category
- speech-asr
- Scored models
- 130
Scores
| Model | Score |
|---|---|
| distil-whisper/distil-large-v3 | 100 |
| ibm-granite/granite-3.3-2b-instruct | 100 |
| ibm-granite/granite-4.0-1b-base | 100 |
| ibm-granite/granite-4.0-1b-base | 100 |
| ibm-granite/granite-3.3-8b-instruct | 100 |
| ibm-granite/granite-speech-4.1-2b | 100 |
| ibm-granite/granite-3.2-8b-instruct | 100 |
| ibm-granite/granite-4.0-1b-speech | 100 |
| distil-whisper/distil-small.en | 100 |
| — | 100 |
| distil-whisper/distil-large-v3 | 100 |
| — | 100 |
| ibm-granite/granite-4.0-1b-speech | 100 |
| ibm-granite/granite-speech-4.1-2b | 100 |
| nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0 | 96.25 |
| openai/whisper-large-v3 | 79 |
| openai/whisper-large-v3 | 79 |
| — | 78 |
| — | 68.4 |
| — | 68.4 |
| — | 68.4 |
| nvidia/multitalker-parakeet-streaming-0.6b-v1 | 40 |
| nvidia/multitalker-parakeet-streaming-0.6b-v1 | 40 |
| — | 39.49 |
Remaining fields
Identity, launch, related records, and measured speed are shown above. This is the rest of the normalized record.
- category
- speech-asr
- id
- wer-ami
- name
- WER AMI
- schema version
- local-ai-registry/v1
rows
| variant | conf | context | model id | org | rank | root | score |
|---|---|---|---|---|---|---|---|
| distil-large-v3 | medium | [AMI](https://huggingface.co/datasets/edinburghcstr/ami) | distil-large-v3 | distil-whisper | 1 | distil-whisper/distil-large-v3 | 100 |
| granite-speech-3.3-2b | medium | AMI English | granite-3-3-2b-instruct | ibm-granite | 2 | ibm-granite/granite-3.3-2b-instruct | 100 |
| granite-speech-4.1-2b | medium | AMI English | granite-4-0-1b-base | ibm-granite | 3 | ibm-granite/granite-4.0-1b-base | 100 |
| granite-4.0-1b-speech | medium | AMI English | granite-4-0-1b-base | ibm-granite | 4 | ibm-granite/granite-4.0-1b-base | 100 |
| granite-speech-3.3-8b | medium | AMI English | granite-3-3-8b-instruct | ibm-granite | 5 | ibm-granite/granite-3.3-8b-instruct | 100 |
| granite-speech-4.1-2b-gguf | medium | AMI English | granite-speech-4-1-2b | handy-computer | 6 | ibm-granite/granite-speech-4.1-2b | 100 |
| granite-speech-3.2-8b | medium | AMI | granite-3-2-8b-instruct | ibm-granite | 7 | ibm-granite/granite-3.2-8b-instruct | 100 |
| granite-4.0-1b-speech-gguf | medium | AMI English | granite-4-0-1b-speech | handy-computer | 8 | ibm-granite/granite-4.0-1b-speech | 100 |
| distil-small.en | medium | [AMI](https://huggingface.co/datasets/edinburghcstr/ami) | Unknown | distil-whisper | 9 | distil-whisper/distil-small.en | 100 |
| distil-medium.en | medium | [AMI](https://huggingface.co/datasets/edinburghcstr/ami) | Unknown | distil-whisper | 10 | — | 100 |
| distil-large-v2 | medium | [AMI](https://huggingface.co/datasets/edinburghcstr/ami) | distil-large-v3 | distil-whisper | 11 | distil-whisper/distil-large-v3 | 100 |
| Whisper-Medicalv1 | medium | [AMI](https://huggingface.co/datasets/edinburghcstr/ami) | Unknown | Crystalcareai | 12 | — | 100 |
| granite-4.0-1b-speech-ONNX | medium | AMI English | granite-4-0-1b-speech | onnx-community | 13 | ibm-granite/granite-4.0-1b-speech | 100 |
| granite-speech-4.1-2b-gguf | medium | AMI English | granite-speech-4-1-2b | memoravox | 14 | ibm-granite/granite-speech-4.1-2b | 100 |
| Frame_VAD_Multilingual_MarbleNet_v2.0 | medium | AMI-test | Unknown | nvidia | 15 | nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0 | 96.25 |
| CrisperWhisper | medium | [AMI IHM](https://groups.inf.ed.ac.uk/ami/corpus/) | whisper-large-v3 | nyralabs | 16 | openai/whisper-large-v3 | 79 |
| CrisperWhisper | medium | [AMI IHM](https://groups.inf.ed.ac.uk/ami/corpus/) | whisper-large-v3 | unsloth | 17 | openai/whisper-large-v3 | 79 |
| Zipformer-cr-ctc-transducer-XL-290M | medium | AMI Meeting Corpus | Unknown | soundsgoodai | 18 | — | 78 |
| segmentation | medium | AMI Mix-Headset | Unknown | pyannote | 19 | — | 68.4 |
| pyannote-segmentation | medium | AMI Mix-Headset | Unknown | philschmid | 20 | — | 68.4 |
| segmentation | medium | AMI Mix-Headset | Unknown | drewThomasson | 21 | — | 68.4 |
| multitalker-parakeet-streaming-0.6b-v1-gguf | medium | **AMI SDM** | Unknown | handy-computer | 22 | nvidia/multitalker-parakeet-streaming-0.6b-v1 | 40 |
| multitalker-parakeet-streaming-0.6b-v1 | medium | **AMI SDM** | Unknown | nvidia | 23 | nvidia/multitalker-parakeet-streaming-0.6b-v1 | 40 |
| tiron | medium | AMI (4 meetings) | Unknown | Trelis | 24 | — | 39.49 |
| tiron | medium | AMI | Unknown | Trelis | 25 | — | 35.24 |
| speaker-diarization | medium | [AMI (*array1, channel 1,*](https://groups.inf.ed.ac.uk/ami/corpus/) [*only_words)*](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | pyannote | 26 | — | 27.12 |
| VibeVoice-ASR-BitNet | medium | AMI-sdm | vibevoice-asr-bitnet | microsoft | 27 | microsoft/VibeVoice-ASR-BitNet | 24.18 |
| speaker-diarization-community-1 | medium | [AMI](https://groups.inf.ed.ac.uk/ami/corpus/) (SDM) | Unknown | pyannote | 28 | pyannote/speaker-diarization-community-1 | 22.7 |
| speaker-diarization-community-1 | medium | [AMI](https://groups.inf.ed.ac.uk/ami/corpus/) (SDM) | Unknown | pyannote-community | 29 | pyannote/speaker-diarization-community-1 | 22.7 |
| speaker-detection | medium | [AMI](https://groups.inf.ed.ac.uk/ami/corpus/) (SDM) | Unknown | aTrain-core | 30 | — | 22.7 |
| verba-diarization-v1 | medium | [AMI](https://groups.inf.ed.ac.uk/ami/corpus/) (SDM) | Unknown | iyk89 | 31 | — | 22.7 |
| speaker-diarization-3.1 | medium | [AMI (_array1, channel 1,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words)_](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | pyannote | 32 | — | 22.4 |
| speaker-diarization-3.1 | medium | [AMI (_array1, channel 1,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words)_](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | fatymatariq | 33 | — | 22.4 |
| diarizen-wavlm-large-s80-md-v2 | medium | AMI | Unknown | BUT-FIT | 34 | — | 22.4 |
| speaker-diarization-3.1 | medium | [AMI (_array1, channel 1,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words)_](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | tensorlake | 35 | — | 22.4 |
| diarizen-wavlm-large-s80-md | medium | AMI | Unknown | BUT-FIT | 36 | — | 22.4 |
| pyannote-speaker-diarization-31 | medium | [AMI (_array1, channel 1,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words)_](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | collinbarnwell | 37 | — | 22.4 |
| speaker-diarization-optimized | medium | [AMI (_array1, channel 1,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words)_](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | G-Root | 38 | — | 22.4 |
| diar_streaming_sortformer_4spk-v2.1 | high | **AMI Test IHM** | Unknown | nvidia | 39 | nvidia/diar_streaming_sortformer_4spk-v2.1 | 22.39 |
| speaker-diarization-3.0 | medium | [AMI (*array1, channel 1,*](https://groups.inf.ed.ac.uk/ami/corpus/) [*only_words)*](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | pyannote | 40 | — | 22.2 |
| SE-DiCoW | medium | **AMI (SDM)** | Unknown | BUT-FIT | 41 | — | 21.4 |
| DiCoW_v3_3 | medium | **AMI (SDM)** | whisper-large-v3-turbo | BUT-FIT | 42 | openai/whisper-large-v3-turbo | 21.4 |
| multitalker-parakeet-streaming-0.6b-v1-gguf | low | **AMI IHM** | Unknown | handy-computer | 43 | nvidia/multitalker-parakeet-streaming-0.6b-v1 | 21.26 |
| multitalker-parakeet-streaming-0.6b-v1 | low | **AMI IHM** | Unknown | nvidia | 44 | nvidia/multitalker-parakeet-streaming-0.6b-v1 | 21.26 |
| moonshine-streaming-tiny | medium | AMI | moonshine-streaming-tiny | UsefulSensors | 45 | UsefulSensors/moonshine-streaming-tiny | 19.03 |
| moonshine-streaming-medium-gguf | medium | AMI | moonshine-streaming-medium | handy-computer | 46 | UsefulSensors/moonshine-streaming-medium | 19.03 |
| moonshine-streaming-small-gguf | medium | AMI | moonshine-streaming-small | handy-computer | 47 | UsefulSensors/moonshine-streaming-small | 19.03 |
| moonshine-streaming-medium | medium | AMI | moonshine-streaming-medium | UsefulSensors | 48 | UsefulSensors/moonshine-streaming-medium | 19.03 |
| moonshine-streaming-small | medium | AMI | moonshine-streaming-small | UsefulSensors | 49 | UsefulSensors/moonshine-streaming-small | 19.03 |
| moonshine-streaming-tiny-gguf | medium | AMI | moonshine-streaming-tiny | handy-computer | 50 | UsefulSensors/moonshine-streaming-tiny | 19.03 |
| speaker-diarization-3.0 | medium | [AMI (*headset mix,*](https://groups.inf.ed.ac.uk/ami/corpus/) [*only_words*)](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | pyannote | 51 | — | 19 |
| speaker-diarization | medium | [AMI (*headset mix,*](https://groups.inf.ed.ac.uk/ami/corpus/) [*only_words*)](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | pyannote | 52 | — | 18.91 |
| speaker-diarization-3.1 | medium | [AMI (_headset mix,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words_)](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | pyannote | 53 | — | 18.8 |
| speaker-diarization-community-1 | medium | [AMI](https://groups.inf.ed.ac.uk/ami/corpus/) (IHM) | Unknown | pyannote | 54 | pyannote/speaker-diarization-community-1 | 18.8 |
| speaker-diarization-community-1 | medium | [AMI](https://groups.inf.ed.ac.uk/ami/corpus/) (IHM) | Unknown | pyannote-community | 55 | pyannote/speaker-diarization-community-1 | 18.8 |
| speaker-diarization-3.1 | medium | [AMI (_headset mix,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words_)](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | fatymatariq | 56 | — | 18.8 |
| speaker-diarization-3.1 | medium | [AMI (_headset mix,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words_)](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | tensorlake | 57 | — | 18.8 |
| speaker-detection | medium | [AMI](https://groups.inf.ed.ac.uk/ami/corpus/) (IHM) | Unknown | aTrain-core | 58 | — | 18.8 |
| pyannote-speaker-diarization-31 | medium | [AMI (_headset mix,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words_)](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | collinbarnwell | 59 | — | 18.8 |
| speaker-diarization-optimized | medium | [AMI (_headset mix,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words_)](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | Unknown | G-Root | 60 | — | 18.8 |
| verba-diarization-v1 | medium | [AMI](https://groups.inf.ed.ac.uk/ami/corpus/) (IHM) | Unknown | iyk89 | 61 | — | 18.8 |
| parakeet-rnnt-0.6b | low | **AMI** | parakeet-rnnt-0-6b | nvidia | 62 | nvidia/parakeet-rnnt-0.6b | 17.55 |
| parakeet-rnnt-0.6b-gguf | low | **AMI** | parakeet-rnnt-0-6b | handy-computer | 63 | nvidia/parakeet-rnnt-0.6b | 17.55 |
| parakeet-rnnt-0.6b-gguf | low | **AMI** | parakeet-rnnt-0-6b | memoravox | 64 | nvidia/parakeet-rnnt-0.6b | 17.55 |
| VibeVoice-ASR-BitNet | medium | AMI-ihm | vibevoice-asr-bitnet | microsoft | 65 | microsoft/VibeVoice-ASR-BitNet | 17.42 |
| parakeet-rnnt-1.1b-gguf | low | **AMI** | parakeet-rnnt-1-1b | handy-computer | 66 | nvidia/parakeet-rnnt-1.1b | 17.1 |
| parakeet-rnnt-1.1b | low | **AMI** | parakeet-rnnt-1-1b | nvidia | 67 | nvidia/parakeet-rnnt-1.1b | 17.1 |
| kotoba-whisper-bilingual-v1.0 | high | ESB (AMI) — WER | Unknown | kotoba-tech | 68 | — | 16.7 |
| parakeet-ctc-0.6b-gguf | low | **AMI** | parakeet-ctc-0-6b | handy-computer | 69 | nvidia/parakeet-ctc-0.6b | 16.3 |
| parakeet-ctc-0.6b | low | **AMI** | parakeet-ctc-0-6b | nvidia | 70 | nvidia/parakeet-ctc-0.6b | 16.3 |
| canary-1b-v2-gguf | low | **AMI** | Unknown | handy-computer | 71 | nvidia/canary-1b-v2 | 16.01 |
| canary-1b-v2 | low | **AMI** | Unknown | nvidia | 72 | nvidia/canary-1b-v2 | 16.01 |
| canary-1b-v2-gguf | low | **AMI** | Unknown | memoravox | 73 | nvidia/canary-1b-v2 | 16.01 |
| diar_streaming_sortformer_4spk-v2.1 | medium | **AMI Test** | Unknown | nvidia | 74 | nvidia/diar_streaming_sortformer_4spk-v2.1 | 16 |
| parakeet-tdt_ctc-1.1b-gguf | low | **AMI** | Unknown | handy-computer | 75 | nvidia/parakeet-tdt_ctc-1.1b | 15.94 |
| parakeet-tdt_ctc-1.1b | low | **AMI** | Unknown | nvidia | 76 | nvidia/parakeet-tdt_ctc-1.1b | 15.94 |
| parakeet-tdt-1.1b-gguf | low | **AMI** | Unknown | handy-computer | 77 | nvidia/parakeet-tdt-1.1b | 15.9 |
| parakeet-tdt-1.1b | low | **AMI** | Unknown | nvidia | 78 | nvidia/parakeet-tdt-1.1b | 15.9 |
| parakeet-tdt_ctc-110m-gguf | low | **AMI** | Unknown | handy-computer | 79 | nvidia/parakeet-tdt_ctc-110m | 15.88 |
| parakeet-tdt_ctc-110m | low | **AMI** | Unknown | nvidia | 80 | nvidia/parakeet-tdt_ctc-110m | 15.88 |
| parakeet-tdt-ctc-110m-coreml | medium | AMI | Unknown | FluidInference | 81 | nvidia/parakeet-tdt_ctc-110m | 15.88 |
| LFM2.5-Audio-1.5B | high | Open | lfm2-1-2b | LiquidAI | 82 | LiquidAI/LFM2-1.2B | 15.63 |
| LFM2.5-Audio-1.5B-GGUF | high | Open | lfm2-1-2b | Mungert | 83 | LiquidAI/LFM2-1.2B | 15.63 |
| parakeet-ctc-1.1b | low | **AMI** | parakeet-ctc-1-1b | nvidia | 84 | nvidia/parakeet-ctc-1.1b | 15.62 |
| parakeet-ctc-1.1b-gguf | low | **AMI** | parakeet-ctc-1-1b | handy-computer | 85 | nvidia/parakeet-ctc-1.1b | 15.62 |
| parakeet_realtime_eou_120m-v1 | low | AMI | Unknown | nvidia | 86 | nvidia/parakeet_realtime_eou_120m-v1 | 15.62 |
| LFM2-Audio-1.5B | high | Open | lfm2-1-2b | LiquidAI | 87 | LiquidAI/LFM2-1.2B | 15.58 |
| canary-180m-flash-gguf | low | **AMI** | Unknown | handy-computer | 88 | nvidia/canary-180m-flash | 14.86 |
| canary-180m-flash | low | **AMI** | Unknown | nvidia | 89 | nvidia/canary-180m-flash | 14.86 |
| Voxtral-Mini-4B-Realtime-2602 | low | GigaSpeech 2k Subset | GISpeech 2k Subset | ministral-3-3b-base-2512 | mistralai | 90 | mistralai/Ministral-3-3B-Base-2512 | 14.43 |
| Voxtral-Mini-4B-Realtime-2602-gguf | low | GigaSpeech 2k Subset | GISpeech 2k Subset | voxtral-mini-4b-realtime-2602 | handy-computer | 91 | mistralai/Voxtral-Mini-4B-Realtime-2602 | 14.43 |
| Voxtral-Mini-4B-Realtime-2602-ONNX | low | GigaSpeech 2k Subset | GISpeech 2k Subset | voxtral-mini-4b-realtime-2602 | onnx-community | 92 | mistralai/Voxtral-Mini-4B-Realtime-2602 | 14.43 |
| Voxtral-Mini-4B-Realtime-2602 | low | GigaSpeech 2k Subset | GISpeech 2k Subset | ministral-3-3b-base-2512 | suleimanelkhoury | 93 | mistralai/Ministral-3-3B-Base-2512 | 14.43 |
| Voxtral-Mini-4B-Realtime-2602-GGUF | low | GigaSpeech 2k Subset | GISpeech 2k Subset | ministral-3-3b-base-2512 | Bercraft | 94 | mistralai/Ministral-3-3B-Base-2512 | 14.43 |
| Voxtral-Mini-4B-Realtime-2602-gguf | low | GigaSpeech 2k Subset | GISpeech 2k Subset | voxtral-mini-4b-realtime-2602 | memoravox | 95 | mistralai/Voxtral-Mini-4B-Realtime-2602 | 14.43 |
| canary-1b-flash-gguf | low | **AMI** | canary-1b-flash | handy-computer | 96 | nvidia/canary-1b-flash | 13.11 |
| canary-1b-flash | low | **AMI** | canary-1b-flash | nvidia | 97 | nvidia/canary-1b-flash | 13.11 |
| canary-1b-flash-gguf | low | **AMI** | canary-1b-flash | memoravox | 98 | nvidia/canary-1b-flash | 13.11 |
| nemotron-speech-streaming-en-0.6b | low | AMI | nemotron-speech-streaming-en-0-6b | nvidia | 99 | nvidia/nemotron-speech-streaming-en-0.6b | 11.73 |
| nemotron-speech-streaming-en-0.6b-gguf | low | AMI | nemotron-speech-streaming-en-0-6b | handy-computer | 100 | nvidia/nemotron-speech-streaming-en-0.6b | 11.73 |
| Nemotron-Speech-Streaming-0.6B-CoreML-INT8 | medium | AMI | nemotron-speech-streaming-en-0-6b | aufklarer | 101 | nvidia/nemotron-speech-streaming-en-0.6b | 11.73 |
| nemotron-speech-streaming-en-0.6b-gguf | low | AMI | nemotron-speech-streaming-en-0-6b | memoravox | 102 | nvidia/nemotron-speech-streaming-en-0.6b | 11.73 |
| ARK-ASR-0.6B | high | AMI | Unknown | Audio8 | 103 | — | 11.54 |
| parakeet-tdt-0.6b-v3-gguf | low | **AMI** | parakeet-tdt-0-6b-v3 | handy-computer | 104 | nvidia/parakeet-tdt-0.6b-v3 | 11.31 |
| parakeet-tdt-0.6b-v3 | low | **AMI** | parakeet-tdt-0-6b-v3 | nvidia | 105 | nvidia/parakeet-tdt-0.6b-v3 | 11.31 |
| Zipformer-cr-ctc-transducer-XL-290M | medium | AMI | Unknown | soundsgoodai | 106 | — | 11.3 |
| parakeet-tdt-0.6b-v2 | high | **AMI** | Unknown | nvidia | 107 | nvidia/parakeet-tdt-0.6b-v2 | 11.16 |
| parakeet-tdt-0.6b-v2-gguf | high | **AMI** | Unknown | handy-computer | 108 | nvidia/parakeet-tdt-0.6b-v2 | 11.16 |
| Qwen3-ASR-0.6B-hf | high | AMI | qwen3-asr-0-6b-hf | Qwen | 109 | Qwen/Qwen3-ASR-0.6B-hf | 10.57 |
| Qwen3-ASR-0.6B-hf | high | AMI | qwen3-asr-0-6b | bezzam | 110 | Qwen/Qwen3-ASR-0.6B | 10.57 |
| canary-qwen-2.5b | low | **AMI** | canary-1b-flash | nvidia | 111 | nvidia/canary-1b-flash | 10.18 |
| canary-qwen-2.5b-gguf | low | **AMI** | canary-qwen-2-5b | handy-computer | 112 | nvidia/canary-qwen-2.5b | 10.18 |
| higgs-audio-v3-8b-stt-v2 | medium | AMI | Unknown | bosonai | 113 | bosonai/higgs-audio-v3-8b | 10.14 |
| higgs-audio-v3-stt-v2 | medium | AMI | higgs-audio-v3-stt | bosonai | 114 | bosonai/higgs-audio-v3-stt | 10.03 |
| thewhisper-large-v3-turbo | medium | **AMI** | whisper-large-v3-turbo | TheStageAI | 115 | openai/whisper-large-v3-turbo | 9.6 |
| Qwen3-ASR-1.7B-hf | high | AMI | qwen3-asr-1-7b-hf | Qwen | 116 | Qwen/Qwen3-ASR-1.7B-hf | 9.26 |
| Qwen3-ASR-1.7B-hf | high | AMI | qwen3-asr-1-7b | bezzam | 117 | Qwen/Qwen3-ASR-1.7B | 9.26 |
| ARK-ASR-3B | high | AMI | ark-asr-3b | Audio8 | 118 | AutoArk-AI/ARK-ASR-3B | 8.79 |
| CrisperWhisper | medium | [AMI](https://huggingface.co/datasets/edinburghcstr/ami) | whisper-large-v3 | nyralabs | 119 | openai/whisper-large-v3 | 8.72 |
| CrisperWhisper | medium | [AMI](https://huggingface.co/datasets/edinburghcstr/ami) | whisper-large-v3 | unsloth | 120 | openai/whisper-large-v3 | 8.72 |
| distil-large-v3.5 | medium | AMI | distil-large-v3-5 | distil-whisper | 121 | distil-whisper/distil-large-v3.5 | 8.68 |
| granite-speech-4.1-2b-plus-gguf | low | **AMI** | granite-speech-4-1-2b-plus | handy-computer | 122 | ibm-granite/granite-speech-4.1-2b-plus | 8.63 |
| granite-speech-4.1-2b-plus-gguf | low | **AMI** | granite-speech-4-1-2b-plus | memoravox | 123 | ibm-granite/granite-speech-4.1-2b-plus | 8.63 |
| granite-4.0-1b-speech | high | **AMI** | granite-4-0-1b-base | ibm-granite | 124 | ibm-granite/granite-4.0-1b-base | 8.44 |
| granite-4.0-1b-speech-gguf | low | **AMI** | granite-4-0-1b-speech | handy-computer | 125 | ibm-granite/granite-4.0-1b-speech | 8.44 |
| granite-4.0-1b-speech-ONNX | low | **AMI** | granite-4-0-1b-speech | onnx-community | 126 | ibm-granite/granite-4.0-1b-speech | 8.44 |
| MOSS-Transcribe-preview-2B | medium | AMI | moss-transcribe-preview-2b | OpenMOSS-Team | 127 | OpenMOSS-Team/MOSS-Transcribe-preview-2B | 8.37 |
| granite-speech-4.1-2b-plus | high | **AMI** | granite-4-0-1b-base | ibm-granite | 128 | ibm-granite/granite-4.0-1b-base | 8.09 |
| higgs-audio-v3-8b-stt | medium | AMI | Unknown | bosonai | 129 | bosonai/higgs-audio-v3-8b | 6.23 |
| speakerverification_en_titanet_large | low | AMI (Lapel) | Unknown | nvidia | 130 | nvidia/speakerverification_en_titanet_large | 2.03 |
Provenance & metadata (1)
source
- kind
- leaderboard-scrape
- paths
- benchmarks/wer-ami.html, docs/notes/hf-benchmark-contexts.json