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@@ -54,3 +54,18 @@ speaker_embedding = model(dummy_audio)
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  print("\nEmbedding extracted successfully!")
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  print(f"Output embedding shape: {speaker_embedding.shape}")
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  print("\nEmbedding extracted successfully!")
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  print(f"Output embedding shape: {speaker_embedding.shape}")
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  ```
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+ ## Citation
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+
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+ If you find MHFA useful, please cite it as
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+
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+ ```bibtex
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+ @inproceedings{peng2023attention,
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+ title={An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification},
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+ author={Peng, Junyi and Plchot, Old{\v{r}}ich and Stafylakis, Themos and Mo{\v{s}}ner, Ladislav and Burget, Luk{\'a}{\v{s}} and {\v{C}}ernock{\`y}, Jan},
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+ booktitle={2022 IEEE Spoken Language Technology Workshop (SLT)},
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+ pages={555--562},
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+ year={2023},
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+ organization={IEEE}
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+ }
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+
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+ ```