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Silent speech synthesis uses sEMG and lipreading with masking

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework for silent speech synthesis that combines surface electromyography (sEMG) and lipreading data. This approach uses modality masking during training to improve robustness against sensor failure or signal degradation. The masked multimodal system significantly reduced word error rates compared to unimodal methods, particularly for vowels and certain consonant groups, demonstrating its effectiveness for assistive technology. AI

IMPACT This research advances assistive technologies by improving the robustness and accuracy of silent speech synthesis systems.

RANK_REASON The cluster contains an academic paper detailing a new technical approach to silent speech synthesis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Silent speech synthesis uses sEMG and lipreading with masking

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The cluster contains an academic paper detailing a new technical approach to silent speech synthesis. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Inma Hernáez ·

    Cross-Modal Masking for Robust Silent Speech Synthesis Using sEMG and Lipreading

    Speech restoration through silent speech interfaces (SSIs) has emerged as a promising assistive technology for individuals with impaired or absent laryngeal voice production. Among non-invasive SSI modalities, surface electromyography (sEMG) and video-based lipreading provide com…

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