Feature Extraction
Transformers
Safetensors
English
custom_model
multi-modal
speech-language
custom_code
Eval Results
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@@ -141,4 +141,13 @@ Try the model in [Google Colab Notebook](https://colab.research.google.com/drive
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  |:--------------------------:|:-------------------:|:-------------------:|:--------------:|:-----------:|:--------------:|
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  | **librispeech-test-clean** | Read Speech | 6.73 | 0.9496 | | |
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  | **librispeech-test-other** | Read Speech | 9.13 | 0.9217 | | |
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- | **CommonVoice test** | Diverse Accent, Age | 25.66 | 0.8680 | 0.6041 | 0.6959 |
 
 
 
 
 
 
 
 
 
 
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  |:--------------------------:|:-------------------:|:-------------------:|:--------------:|:-----------:|:--------------:|
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  | **librispeech-test-clean** | Read Speech | 6.73 | 0.9496 | | |
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  | **librispeech-test-other** | Read Speech | 9.13 | 0.9217 | | |
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+ | **CommonVoice test** | Diverse Accent, Age | 25.66 | 0.8680 | 0.6041 | 0.6959 |
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+
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+ ## Cite
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+ ```
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+ @misc{Rajaa_SpeechLLM_Multi-Modal_LLM,
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+ author = {Rajaa, Shangeth and Tushar, Abhinav},
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+ title = {{SpeechLLM: Multi-Modal LLM for Speech Understanding}},
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+ url = {https://github.com/skit-ai/SpeechLLM}
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+ }
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+ ```