14 citations · 24 across the 20 of their papers we have counts for
5 papers · 1 filter
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding
Kai Wei, Thanh Tran, Feng-Ju Chang +8
Recent years have seen significant advances in end-to-end (E2E) spoken language understanding (SLU) systems, which directly predict intents and slots from spoken audio. While dialo…
Learning a Neural Diff for Speech Models
Jonathan Macoskey, Grant P. Strimel, Ariya Rastrow
As more speech processing applications execute locally on edge devices, a set of resource constraints must be considered. In this work we address one of these constraints, namely o…
Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization
Jonathan Macoskey, Grant P. Strimel, Ariya Rastrow
We present Bifocal RNN-T, a new variant of the Recurrent Neural Network Transducer (RNN-T) architecture designed for improved inference time latency on speech recognition tasks. Th…
Amortized Neural Networks for Low-Latency Speech Recognition
Jonathan Macoskey, Grant P. Strimel, Jinru Su +1
We introduce Amortized Neural Networks (AmNets), a compute cost- and latency-aware network architecture particularly well-suited for sequence modeling tasks. We apply AmNets to the…
CoDERT: Distilling Encoder Representations with Co-learning for Transducer-based Speech Recognition
Rupak Vignesh Swaminathan, Brian King, Grant P. Strimel +2
We propose a simple yet effective method to compress an RNN-Transducer (RNN-T) through the well-known knowledge distillation paradigm. We show that the transducer's encoder outputs…