no code implementations • 24 Feb 2022 • Amir Ardakani, Arash Ardakani, Brett Meyer, James J. Clark, Warren J. Gross
Quantization of deep neural networks is a promising approach that reduces the inference cost, making it feasible to run deep networks on resource-restricted devices.
2 code implementations • 21 Oct 2019 • Loren Lugosch, Brett Meyer, Derek Nowrouzezahrai, Mirco Ravanelli
End-to-end models are an attractive new approach to spoken language understanding (SLU) in which the meaning of an utterance is inferred directly from the raw audio without employing the standard pipeline composed of a separately trained speech recognizer and natural language understanding module.
Ranked #7 on Spoken Language Understanding on Snips-SmartLights