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In this presentation, an edge computing system called X-FACE aiming to support the activities of disaster first responders was proposed.
A pilot model of X-FACE was developed and its automatic speech recognition (ASR) performance was evaluated.
The ASR engine ran on the X-FACE achieved character accuracy above 90% for report, numeral, and abbreviation tasks while sentence accuracy was 80% when the Whisper model was set to medium or large.
As the next step, we will tackle development and implementation of the networking features to realize the elastic edge computing network based on X-FACE.
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