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Brett H. Meyer

2 accepted papers

2020

Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models

ICASSP 2020accepted

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.…

Cited by 0SourceScholar
2019

Learning Recurrent Binary/Ternary Weights

ICLR 2019poster

Recurrent neural networks (RNNs) have shown excellent performance in processing sequence data. However, they are both complex and memory intensive due to their recursive nature. These limitations make RNNs difficult to embed on mobile devices requiring real-time processes with limited hardware resou…