Microphone
This page groups the current SSI review database by the real `modality:` tag `modality:microphone`.
The list below includes every paper page that currently carries this technique label.
Papers
AVSRBench: A Multi-Condition AVSR Benchmark
LRS3のsub-1% AV WERは放送ドメインの指標。六条件比較では視覚のみが領域外で崩壊し、AV融合の明確な利点は主にLombard。RoomReader-AV（6.49h・10,324発話・118人）は会議会話の厳しさを示す。装着SSIの代替ではない。
NasoVoce: A Nose-Mounted Low-Audibility Speech Interface for Always-Available Speech Interaction
A strong deployment-focused speech interface leveraging a novel nose-pad dual-sensor configuration and multimodal fusion to enable robust low-audibility speech interaction with AI under noise, backed by extensive evaluation.
Poster: Recognizing Hidden-in-the-Ear Private Key for Reliable Silent Speech Interface Using Multi-Task Learning
HEar-ID jointly models ear-based spelling and identity, but all-user Top-1 is 67.3%, not the selected eight-user 90.25%; whisper dependence, participant failures, modified hardware, and untested attack resistance limit deployment claims.
Distributed pressure matching strategy using diffusion adaptation
Distributed rootless pressure matching for personal sound zones is presented and validated in simulation, not an SSI paper.
Automatically measuring speech fluency in people with aphasia: first achievements using read-speech data
Strong clinical fluency regression method validated on noisy read speech from aphasia patients; outside core SSI modalities and use-cases.
End-to-end Silent Speech Recognition with Acoustic Sensing
Strong mobile-friendly acoustic SSI paper.
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
Strong AV speech survey, not an SSI system paper.
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application
Strong mobile speech-processing app paper, not SSI.
Proactive Security: Embedded AI Solution for Violent and Abusive Speech Recognition
An embedded smartphone NLP classifier detects violent speech with ~87.5% accuracy using known methods but is unrelated to silent speech interfaces; strong practical application in safety alerting.