113 citations · 278 across the 21 of their papers we have counts for
3 papers · 1 filter
O-1: Self-training with Oracle and 1-best Hypothesis
Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran +1
We introduce O-1, a new self-training objective to reduce training bias and unify training and evaluation metrics for speech recognition. O-1 is a faster variant of Expected Minimu…
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR
Gary Wang, Ekin D. Cubuk, Andrew Rosenberg +6
Data augmentation is a ubiquitous technique used to provide robustness to automatic speech recognition (ASR) training. However, even as so much of the ASR training process has beco…
Multi-Objective Genetic Programming Projection Pursuit for Exploratory Data Modeling
Ilknur Icke, Andrew Rosenberg
For classification problems, feature extraction is a crucial process which aims to find a suitable data representation that increases the performance of the machine learning algori…