Decoding silent speech: a machine learning perspective on data, methods, and frameworks

<p dir="ltr">At the nexus of signal processing and machine learning (ML), silent speech recognition (SSR) has evolved as a game-changing technology that allows for communication without audible voice. This study offers a thorough overview of SSR, tracing its evolution from early wave...

Full description

Saved in:

Bibliographic Details
Main Author:	Adiba Tabassum Chowdhury (19444792) (author)
Other Authors:	Mehrin Newaz (21976595) (author), Purnata Saha (17823467) (author), Mohannad Natheef AbuHaweeleh (21842282) (author), Sara Mohsen (18192739) (author), Diala Bushnaq (22330603) (author), Malek Chabbouh (22330606) (author), Raghad Aljindi (22330609) (author), Shona Pedersen (2792278) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published:	2025
Subjects:	Information and computing sciences Artificial intelligence Human-centred computing Machine learning Speech recognition Silent speech Deep learning Speech decoding Waves to words
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Decoding silent speech: a machine learning perspective on data, methods, and frameworks

Similar Items