✨MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
📝 Summary:
This study demonstrates efficient MEG-based speech decoding using transfer learning. A Conformer model, pre-trained on listening data, significantly improves accuracy and enables reliable cross-task decoding between speech perception and production with limited fine-tuning. Shared neural processe...
🔹 Publication Date: Published on Feb 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.18253
• PDF: https://arxiv.org/pdf/2602.18253
• Github: https://github.com/hitz-zentroa/meg-phone-decoding
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#MEG #TransferLearning #SpeechProcessing #Neuroscience #DeepLearning
📝 Summary:
This study demonstrates efficient MEG-based speech decoding using transfer learning. A Conformer model, pre-trained on listening data, significantly improves accuracy and enables reliable cross-task decoding between speech perception and production with limited fine-tuning. Shared neural processe...
🔹 Publication Date: Published on Feb 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.18253
• PDF: https://arxiv.org/pdf/2602.18253
• Github: https://github.com/hitz-zentroa/meg-phone-decoding
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#MEG #TransferLearning #SpeechProcessing #Neuroscience #DeepLearning