Abstract
Carnegie Mellon's Wearable Computers Laboratory has built four generations of real-time speech translation wearable computers, culminating in the Speech Translator Smart Module. Smart Modules use a family of interoperable modules supporting real-time speech recognition, language translation, and speech synthesis. We examine the effect of various design factors on performance with emphasis on modularity and scalability. A system-level approach to power/performance optimization is described that improved the metric of (performance/(weight*volume*power)) by over a factor of 300 through the four generations.
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