3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
Yingmei Guo, Linjun Shou, Jian Pei +4
Lack of training data presents a grand challenge to scaling out spoken language understanding (SLU) to low-resource languages. Although various data augmentation approaches have be…
cs.LG2016★ 3 cited
Study on Feature Subspace of Archetypal Emotions for Speech Emotion Recognition
Xi Ma, Zhiyong Wu, Jia Jia +3
Feature subspace selection is an important part in speech emotion recognition. Most of the studies are devoted to finding a feature subspace for representing all emotions. However,…