Zobrazeno 1 - 10
of 565
pro vyhledávání: '"Silent Speech Interfaces"'
Autor:
Tang, Chenyu, Xu, Muzi, Yi, Wentian, Zhang, Zibo, Occhipinti, Edoardo, Dong, Chaoqun, Ravenscroft, Dafydd, Jung, Sung-Min, Lee, Sanghyo, Gao, Shuo, Kim, Jong Min, Occhipinti, Luigi G.
Publikováno v:
npj Flexible Electronics (2024)
Our research presents a wearable Silent Speech Interface (SSI) technology that excels in device comfort, time-energy efficiency, and speech decoding accuracy for real-world use. We developed a biocompatible, durable textile choker with an embedded gr
Externí odkaz:
http://arxiv.org/abs/2311.15683
Akademický článek
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Publikováno v:
the Proceedings of Interspeech 2023
Thanks to the latest deep learning algorithms, silent speech interfaces (SSI) are now able to synthesize intelligible speech from articulatory movement data under certain conditions. However, the resulting models are rather speaker-specific, making a
Externí odkaz:
http://arxiv.org/abs/2305.19130
Autor:
Chenyu Tang, Muzi Xu, Wentian Yi, Zibo Zhang, Edoardo Occhipinti, Chaoqun Dong, Dafydd Ravenscroft, Sung-Min Jung, Sanghyo Lee, Shuo Gao, Jong Min Kim, Luigi Giuseppe Occhipinti
Publikováno v:
npj Flexible Electronics, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract This work introduces a silent speech interface (SSI), proposing a few-layer graphene (FLG) strain sensing mechanism based on thorough cracks and AI-based self-adaptation capabilities that overcome the limitations of state-of-the-art technolo
Externí odkaz:
https://doaj.org/article/db4a91482fec4237abb03e24c40fba43
Autor:
Shandiz, Amin Honarmandi, Tóth, László
Voice Activity Detection (VAD) is not easy task when the input audio signal is noisy, and it is even more complicated when the input is not even an audio recording. This is the case with Silent Speech Interfaces (SSI) where we record the movement of
Externí odkaz:
http://arxiv.org/abs/2105.13718
Autor:
Tóth, László, Shandiz, Amin Honarmandi
Silent speech interfaces (SSI) aim to reconstruct the speech signal from a recording of the articulatory movement, such as an ultrasound video of the tongue. Currently, deep neural networks are the most successful technology for this task. The effici
Externí odkaz:
http://arxiv.org/abs/2104.11532
Autor:
Shandiz, Amin Honarmandi, Tóth, László, Gosztolya, Gábor, Markó, Alexandra, Csapó, Tamás Gábor
Articulatory-to-acoustic mapping seeks to reconstruct speech from a recording of the articulatory movements, for example, an ultrasound video. Just like speech signals, these recordings represent not only the linguistic content, but are also highly s
Externí odkaz:
http://arxiv.org/abs/2106.04552
Autor:
Beiming Cao1,2, Ravi, Shravan3, Sebkhi, Nordine4, Bhavsar, Arpan4, Inan, Omer T.4, Wen Xu5, Jun Wang2,6 jun.wang@austin.utexas.edu
Publikováno v:
Journal of Speech, Language & Hearing Research. 2023 Supplement, Vol. 66, p3206-3221. 16p.
Autor:
Gonzalez-Lopez, Jose A., Gomez-Alanis, Alejandro, Martín-Doñas, Juan M., Pérez-Córdoba, José L., Gomez, Angel M.
This review summarises the status of silent speech interface (SSI) research. SSIs rely on non-acoustic biosignals generated by the human body during speech production to enable communication whenever normal verbal communication is not possible or not
Externí odkaz:
http://arxiv.org/abs/2009.02110