Search Results for author:
Found 5 papers, 2 papers with code
HyperFast: Instant Classification for Tabular Data
Training deep learning models and performing hyperparameter tuning can be computationally demanding and time-consuming.
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs
Feature spaces in the deep layers of convolutional neural networks (CNNs) are often very high-dimensional and difficult to interpret.
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation
Motivated by our observations, we use CW-DeepNNK to propose a novel early stopping criterion that (i) does not require a validation set, (ii) is based on a task performance metric, and (iii) allows stopping to be reached at different points for each channel.
Speech Enhancement for Wake-Up-Word detection in Voice Assistants
Keyword spotting and in particular Wake-Up-Word (WUW) detection is a very important task for voice assistants.
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge
This paper describes joint effort of BUT and Telef\'onica Research on development of Automatic Speech Recognition systems for Albayzin 2020 Challenge.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
