21 citations · 47 across the 4 of their papers we have counts for
4 papers · 1 filter
Training Keyword Spotters with Limited and Synthesized Speech Data
James Lin, Kevin Kilgour, Dominik Roblek +1
With the rise of low power speech-enabled devices, there is a growing demand to quickly produce models for recognizing arbitrary sets of keywords. As with many machine learning tas…
SPICE: Self-supervised Pitch Estimation
Beat Gfeller, Christian Frank, Dominik Roblek +3
We propose a model to estimate the fundamental frequency in monophonic audio, often referred to as pitch estimation. We acknowledge the fact that obtaining ground truth annotations…
Fréchet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms
Kevin Kilgour, Mauricio Zuluaga, Dominik Roblek +1
We propose the Fréchet Audio Distance (FAD), a novel, reference-free evaluation metric for music enhancement algorithms. We demonstrate how typical evaluation metrics for speech en…
Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition
David B. Ramsay, Kevin Kilgour, Dominik Roblek +1
Low power digital signal processors (DSPs) typically have a very limited amount of memory in which to cache data. In this paper we develop efficient bottleneck feature (BNF) extrac…