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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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@@ -154,10 +154,10 @@ Try the model in [Google Colab Notebook](https://colab.research.google.com/drive
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  ## Checkpoint Result
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- | **Dataset** | **Type** | **Word Error Rate** | **Gender Acc** | **Age Acc** | **Accent Acc** |
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- |------------------------|---------------------|---------------------|----------------|-------------|----------------|
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- | librispeech-test-clean | Read Speech | 6.73 | 0.9536 | | |
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- | librispeech-test-other | Read Speech | 9.13 | 0.9099 | | |
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- | CommonVoice test | Diverse Accent, Age | 24.27 | 0.8680 | 0.6251 | 0.6457 |
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- | ML Spoken Words | Short Utterance | 36.12 | 0.6587 | | |
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- | IEMOCAP | Emotional Speech | 44.15 | 0.7557 | | |
 
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  ## Checkpoint Result
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+ | **Dataset** | **Type** | **Word Error Rate** | **Gender Acc** | **Age Acc** | **Accent Acc** |
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+ |----------------------------|---------------------|---------------------|----------------|-------------|----------------|
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+ | **librispeech-test-clean** | Read Speech | 6.73 | 0.9536 | | |
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+ | **librispeech-test-other** | Read Speech | 9.13 | 0.9099 | | |
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+ | **CommonVoice test** | Diverse Accent, Age | 24.27 | 0.8680 | 0.6251 | 0.6457 |
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+ | **ML Spoken Words** | Short Utterance | 36.12 | 0.6587 | | |
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+ | **IEMOCAP** | Emotional Speech | 44.15 | 0.7557 | | |