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GTC On-Demand

AI Application Deployment and Inference
Presentation
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Accelerate Your Kaldi Speech Pipeline on the GPU
Hugo Braun (NVIDIA)
Voice commands, and advancements in automatic speech recognition algorithms, that help us interact conversationally with devices, appliances and services, are growing within our everyday environment. We will share some highlights and results from wor ...Read More
Voice commands, and advancements in automatic speech recognition algorithms, that help us interact conversationally with devices, appliances and services, are growing within our everyday environment. We will share some highlights and results from work scheduling optimizations in the Kaldi framework. The first part of the talk will describe results focused primarily on optimizing the DNN components of speech pipeline. We will then show results from a GPU optimized fast lattice decode algorithm to achieve high end to end throughput across the whole ASR pipeline from the acoustic model to the language model.  Back
 
Keywords:
AI Application Deployment and Inference, AI and DL Research, GTC Silicon Valley 2018 - ID S81034
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