Speech Recognition On Lrs3 Ted
Metrics
Word Error Rate (WER)
Results
Performance results of various models on this benchmark
Model Name | Word Error Rate (WER) | Paper Title | Repository |
|---|---|---|---|
| Whisper | 0.68 | Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation | |
| RAVEn Large | 1.4 | Jointly Learning Visual and Auditory Speech Representations from Raw Data | |
| Llama-AVSR | 0.81 | Large Language Models are Strong Audio-Visual Speech Recognition Learners | - |
| AV-HuBERT Large | 1.3 | Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction |
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