Illustration showing the Hybrid CPU-GPU architecture used in HYDRA. Speech Recognition is performed on the GPU with a fully composed search graph with limited language model history. Extended language model context is introduced on-the-fly during the search process by performing model lookup on the CPU. Using this approach we are able to perform large vocabulary speech recognition up to 30x faster than a CPU-based implementation.
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