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asr-mms-salt

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Inference Endpoints
Model card Files Community
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  | Language Adapter | WER (%) | CER (%) | Additional Details |
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  |---------------------|--------:|--------:|---------------------|
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  | **Luganda (Lug)** | | | |
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- | Lug-Base | | | |
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  | Lug+5Gram LM | | | |
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  | Lug+3Gram LM | | | |
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- | Lug+English Combined| | | |
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  | **Acholi (Ach)** | | | |
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- | Ach-Base | | | |
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  | Ach+3Gram LM | | | |
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  | Ach+5Gram LM | | | |
 
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  | **Lugbara (Lgg)** | | | |
 
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  | Lgg+3Gram LM | | | |
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  | Lgg+5Gram LM | | | |
 
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  | **Teso (Teo)** | | | |
 
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  | Teo+3Gram LM | | | |
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  | Teo+5Gram LM | | | |
 
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  | **Nyankore (Nyn)** | | | |
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- | Nyn-Base | | | |
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  | Nyn+3Gram LM | | | |
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  | Nyn+5Gram LM | | | |
 
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  _Note: LM stands for Language Model. The `+3Gram LM` and `+5Gram LM` suffixes indicate models enhanced with trigram and five-gram language models, respectively._
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  | Language Adapter | WER (%) | CER (%) | Additional Details |
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  |---------------------|--------:|--------:|---------------------|
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  | **Luganda (Lug)** | | | |
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+ | Lug-Base | 0.25 | | |
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  | Lug+5Gram LM | | | |
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  | Lug+3Gram LM | | | |
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+ | Lug+English Combined| 0.12 | | |
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  | **Acholi (Ach)** | | | |
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+ | Ach-Base | 0.34 | | |
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  | Ach+3Gram LM | | | |
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  | Ach+5Gram LM | | | |
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+ | Ach+English Combined| 0.18 | | |
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  | **Lugbara (Lgg)** | | | |
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+ | Lgg-Base | | | |
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  | Lgg+3Gram LM | | | |
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  | Lgg+5Gram LM | | | |
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+ | Lgg+English Combined| 0.25 | | |
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  | **Teso (Teo)** | | | |
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+ | Teo-Base | 0.39 | | |
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  | Teo+3Gram LM | | | |
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  | Teo+5Gram LM | | | |
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+ | Teo+English Combined| 0.29 | | |
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  | **Nyankore (Nyn)** | | | |
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+ | Nyn-Base | 0.48 | | |
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  | Nyn+3Gram LM | | | |
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  | Nyn+5Gram LM | | | |
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+ | Nyn+English Combined| 0.29 | | |
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  _Note: LM stands for Language Model. The `+3Gram LM` and `+5Gram LM` suffixes indicate models enhanced with trigram and five-gram language models, respectively._
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