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A personalized Korean visual speech recognition (VSR) system is presented and the gap between the population-level benchmark score and an individual user's error is quantified, on the nine-camera OLKAVS corpus.
Post-training quantization (PTQ) reduces the cost of on-device text-to-speech (TTS), but published evaluations cover one system or method. We evaluate PTQ across TTS architectures under one protocol with three core models, weight and activation ablations of eight more, and two held-out models quantized blind. Four-bit...
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