added inspiration to README.md

README.md

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 ## About
 
-This module is produced as part of the requirement for my Final Year Project for my BSc Computer Science degree requirement at the University of Portsmouth.
+This module is produced as part of the requirement for my Final Year Project for my BSc Computer Science degree requirement at the University of Portsmouth.
+
+## Inspiration
+
+The inspiration for this project largely comes from the landmark sEMG silent speech
+synthesis papers "Digital Voicing of Silent Speech" at EMNLP 2020 and
+"An Improved Model for Voicing Silent Speech" at ACL 2021. These papers provided
+a method to transduce silent speech surface EMG (sEMG) signals directly
+into speech features (either MFCCs or mel spectrograms). This project goes one step
+further and uses the predicted mel spectrograms from the transduction model and
+directly performs speech recognition on these speech features.
+
+## Data
+
+The dataset for this project is based on the open-source dataset released
+with the "Digital Voicing of Silent Speech" at EMNLP 2020 paper with
+the additional force-aligned phonemes released along with the
+"An Improved Model for Voicing Silent Speech" at ACL 2021 paper.
+
+The EMG and audio data can be downloaded from
+[https://doi.org/10.5281/zenodo.4064408](https://doi.org/10.5281/zenodo.4064408).
+
+And the force-aligned phonemes for the dataset (not including the closed
+vocabulary portion of the dataset) can be downloaded from
+[https://github.com/dgaddy/silent_speech_alignments/raw/main/text_alignments.tar.gz](https://github.com/dgaddy/silent_speech_alignments/raw/main/text_alignments.tar.gz).