Skin-Vibration Speech Reconstruction Dataset, Models, and Smartphone Inference Assets

This record contains the data and model artifacts supporting skin-vibration-based word classification and real-time speech reconstruction. It includes four-word recordings from two participants, 270 paired skin-vibration sensor and microphone recordings from six participants, pretrained and task-adapted LaCo-SENet checkpoints, smartphone ONNX deployment assets, and compact source data for the reported analysis summaries. The associated analysis, training, evaluation, and Android deployment code is available at https://github.com/yskim3271/skin-vibration-speech-reconstruction. The creators listed here are the three co-first authors of the associated manuscript; Yunsik Kim curated the data and code release.