Abstract: A system is provided for using voice characteristics in determining a user intent corresponding to an utterance. The system processes a NLU hypothesis and voice characteristics data, using a trained model, to determine an alternate NLU hypothesis based on the voice characteristics data. The voice characteristics data may indicate if a user's level of uncertainty when speaking the utterance, an age group of the user, a sentiment of the user when speaking the utterance, and other data.

Abstract: The present disclosure describes the generation and use of word embeddings as part of natural language understanding (NLU) processing performed by a natural language processing system. In at least some examples, the word embeddings may be generated from text corpuses including at least text (representing spoken user inputs) output from automatic speech recognition (ASR) processing. In at least some examples, the word embeddings may be generated from text output from ASR processing and natural language text corresponding to one or more Internet webpages.