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Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering.

, , , , and . INTERSPEECH, page 3351-3355. ISCA, (2020)

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Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training., , and . CoRR, (2018)DKM: Differentiable k-Means Clustering Layer for Neural Network Compression., , , and . ICLR, OpenReview.net, (2022)Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering., , , , and . INTERSPEECH, page 3351-3355. ISCA, (2020)Streaming Anchor Loss: Augmenting Supervision with Temporal Significance., , , , , , , and . CoRR, (2023)PDP: Parameter-free Differentiable Pruning is All You Need., , and . CoRR, (2023)R^2: Range Regularization for Model Compression and Quantization., , , , and . CoRR, (2023)Improving Voice Trigger Detection with Metric Learning., , , , , , , , , and 2 other author(s). INTERSPEECH, page 1896-1900. ISCA, (2022)Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation., , , , , , and . Interspeech, page 4209-4213. ISCA, (2021)Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks., , , , , , , , and . ICASSP, page 7459-7463. IEEE, (2020)eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models., , , , , , , and . CoRR, (2023)