This repostiry contains the code requires to train a SVM and LDA models to distinguish between perceived speech and silence from fNIRS signals.
-
Updated
May 6, 2025 - Jupyter Notebook
#
speech-decoding
Here are 2 public repositories matching this topic...
A brain-computer interface (BCI) for decoding speech phonemes from EEG signals using a hybrid CNN-LSTM model, with interactive Streamlit visualizations and Docker support.
docker deep-learning signal-processing neuroscience pytorch eeg brain-computer-interface cnn-lstm streamlit speech-decoding
-
Updated
Apr 29, 2025 - Python
Improve this page
Add a description, image, and links to the speech-decoding topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the speech-decoding topic, visit your repo's landing page and select "manage topics."