3 papers
eess.AS2018
Feature exploration for almost zero-resource ASR-free keyword spotting using a multilingual bottleneck extractor and correspondence autoencoders
Raghav Menon, Herman Kamper, Ewald van der Westhuizen +2
We compare features for dynamic time warping (DTW) when used to bootstrap keyword spotting (KWS) in an almost zero-resource setting. Such quickly-deployable systems aim to support…
cs.CL2018
Automatic Speech Recognition for Humanitarian Applications in Somali
Raghav Menon, Astik Biswas, Armin Saeb +2
We present our first efforts in building an automatic speech recognition system for Somali, an under-resourced language, using 1.57 hrs of annotated speech for acoustic model train…
cs.CL2018
Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring
Raghav Menon, Herman Kamper, John Quinn +1
We use dynamic time warping (DTW) as supervision for training a convolutional neural network (CNN) based keyword spotting system using a small set of spoken isolated keywords. The…