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Audio Visual Speech Recognition On Lrs3 Ted

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Word Error Rate (WER)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Word Error Rate (WER)	Paper Title	Repository
EG-seq2seq	6.8	Discriminative Multi-modality Speech Recognition
DistillAV	1.3	Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation Models
TM-seq2seq	7.2	Deep Audio-Visual Speech Recognition
RNN-T	4.5	Recurrent Neural Network Transducer for Audio-Visual Speech Recognition
Hyb-Conformer	2.3	End-to-end Audio-visual Speech Recognition with Conformers
AV-HuBERT Large	1.4	Robust Self-Supervised Audio-Visual Speech Recognition
Llama-AVSR	0.77	Large Language Models are Strong Audio-Visual Speech Recognition Learners	-
CTC/Attention	0.9	Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
Whisper-Flamingo	0.76	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
Zero-AVSR	1.5	Zero-AVSR: Zero-Shot Audio-Visual Speech Recognition with LLMs by Learning Language-Agnostic Speech Representations
MMS-LLaMA	0.74	-	-

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