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...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Adiba Tabassum Chowdhury (19444792) (author)
مؤلفون آخرون:	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)
منشور في:	2025
الموضوعات:	Information and computing sciences Artificial intelligence Human-centred computing Machine learning Speech recognition Silent speech Deep learning Speech decoding Waves to words
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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

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