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speechllm-2B

Feature Extraction
Transformers
Safetensors
English
custom_model
multi-modal
speech-language
custom_code
Eval Results
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@@ -128,9 +128,7 @@ Try the model in [Google Colab Notebook](https://colab.research.google.com/drive
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  | **Dataset** | **Word Error Rate** | **Gender Acc** | **Age Acc** | **Accent Acc** |
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  |:----------------------:|:----------------------:|:-------------:|:----------:|:-------------:|
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- | librispeech-test-clean | 7.36 | 0.9490 | | |
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- | librispeech-test-other | 10.47 | 0.9099 | | |
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- | CommonVoice test | 24.47 | 0.8680 | 0.6061 | 0.6156 |
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  | **Dataset** | **Word Error Rate** | **Gender Acc** | **Age Acc** | **Accent Acc** |
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  |:----------------------:|:----------------------:|:-------------:|:----------:|:-------------:|
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+ | librispeech-test-clean | 6.73 | 0.9536 | | |
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+ | librispeech-test-other | 9.13 | 0.9099 | | |
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+ | CommonVoice test | 24.27 | 0.8680 | 0.6251 | 0.6451 |
 
 
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