Biosignal sensors and deep learning-based speech recognition: A review

W Lee, JJ Seong, B Ozlu, BS Shim, A Marakhimov… - Sensors, 2021 - mdpi.com
Voice is one of the essential mechanisms for communicating and expressing one's
intentions as a human being. There are several causes of voice inability, including disease …

Decoding lip language using triboelectric sensors with deep learning

Y Lu, H Tian, J Cheng, F Zhu, B Liu, S Wei, L Ji… - Nature …, 2022 - nature.com
Lip language is an effective method of voice-off communication in daily life for people with
vocal cord lesions and laryngeal and lingual injuries without occupying the hands …

Force-induced ion generation in zwitterionic hydrogels for a sensitive silent-speech sensor

S Xu, JX Yu, H Guo, S Tian, Y Long, J Yang… - Nature …, 2023 - nature.com
Human-sensitive mechanosensation depends on ionic currents controlled by skin
mechanoreceptors. Inspired by the sensory behavior of skin, we investigate zwitterionic …

Mixed-modality speech recognition and interaction using a wearable artificial throat

Q Yang, W Jin, Q Zhang, Y Wei, Z Guo, X Li… - Nature Machine …, 2023 - nature.com
Researchers have recently been pursuing technologies for universal speech recognition
and interaction that can work well with subtle sounds or noisy environments. Multichannel …

Tongue contour tracking and segmentation in lingual ultrasound for speech recognition: A review

K Al-Hammuri, F Gebali, I Thirumarai Chelvan… - Diagnostics, 2022 - mdpi.com
Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has
been used widely in different applications as visual feedback to enhance language learning …

Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition

N Nieto, V Peterson, HL Rufiner, JE Kamienkowski… - Scientific Data, 2022 - nature.com
Surface electroencephalography is a standard and noninvasive way to measure electrical
brain activity. Recent advances in artificial intelligence led to significant improvements in the …

Speaker adaptation on articulation and acoustics for articulation-to-speech synthesis

B Cao, A Wisler, J Wang - Sensors, 2022 - mdpi.com
Silent speech interfaces (SSIs) convert non-audio bio-signals, such as articulatory
movement, to speech. This technology has the potential to recover the speech ability of …

Decoding silent speech commands from articulatory movements through soft magnetic skin and machine learning

P Dong, Y Li, S Chen, JT Grafstein, I Khan, S Yao - Materials Horizons, 2023 - pubs.rsc.org
Silent speech interfaces have been pursued to restore spoken communication for
individuals with voice disorders and to facilitate intuitive communications when acoustic …

Voice activated IoT devices for healthcare: Design challenges and emerging applications

P Spachos, S Gregori, MJ Deen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The recent pandemic forced substantial changes in our lives, including the way we interact
with physical objects. For example, voice-activated systems that enable users to …

Silent speech command word recognition using stepped frequency continuous wave radar

C Wagner, P Schaffer, P Amini Digehsara… - Scientific Reports, 2022 - nature.com
Recovering speech in the absence of the acoustic speech signal itself, ie, silent speech,
holds great potential for restoring or enhancing oral communication in those who lost it …