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Found 4 papers, 2 papers with code
To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement
We show that existing deep keyword spotting mechanisms can be improved by Successive Refinement, where the system first classifies whether the input audio is speech or not, followed by whether the input is keyword-like or not, and finally classifies which keyword was uttered.
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation
However, the best-performing design of T-F weights is criterion-dependent in general.
A Generalized Proportionate-Type Normalized Subband Adaptive Filter
Specifically, we study the effects of using different numbers of subbands and various sparsity penalty terms for quasi-sparse, sparse, and dispersive systems.
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
To codify such a difference in nonlinearities and reveal a linear estimation property, we define ResNEsts, i. e., Residual Nonlinear Estimators, by simply dropping nonlinearities at the last residual representation from standard ResNets.
