9 citations · 12 across the 6 of their papers we have counts for
3 papers · 1 filter
Utterance-level Intent Recognition from Keywords
Wenda Chen, Jonathan Huang, Mark Hasegawa-Johnson
This paper focuses on wake on intent (WOI) techniques for platforms with limited compute and memory. Our approach of utterance-level intent classification is based on a sequence of…
Length- and Noise-aware Training Techniques for Short-utterance Speaker Recognition
Wenda Chen, Jonathan Huang, Tobias Bocklet
Speaker recognition performance has been greatly improved with the emergence of deep learning. Deep neural networks show the capacity to effectively deal with impacts of noise and…
Compact Speaker Embedding: lrx-vector
Munir Georges, Jonathan Huang, Tobias Bocklet
Deep neural networks (DNN) have recently been widely used in speaker recognition systems, achieving state-of-the-art performance on various benchmarks. The x-vector architecture is…