68 citations · 218 across the 63 of their papers we have counts for
6 papers · 1 filter
Representation Learning for Discovering Phonemic Tone Contours
Bai Li, Jing Yi Xie, Frank Rudzicz
Tone is a prosodic feature used to distinguish words in many languages, some of which are endangered and scarcely documented. In this work, we use unsupervised representation learn…
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power
Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta +1
Understanding the vulnerability of linguistic features extracted from noisy text is important for both developing better health text classification models and for interpreting vuln…
Variations on the Chebyshev-Lagrange Activation Function
Yuchen Li, Frank Rudzicz, Jekaterina Novikova
We seek to improve the data efficiency of neural networks and present novel implementations of parameterized piece-wise polynomial activation functions. The parameters are the y-co…
Generative Adversarial Networks for text using word2vec intermediaries
Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain +1
Generative adversarial networks (GANs) have shown considerable success, especially in the realistic generation of images. In this work, we apply similar techniques for the generati…
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
Bai Li, Yi-Te Hsu, Frank Rudzicz
Machine learning has shown promise for automatic detection of Alzheimer's disease (AD) through speech; however, efforts are hampered by a scarcity of data, especially in languages…
Centroid-based deep metric learning for speaker recognition
Jixuan Wang, Kuan-Chieh Wang, Marc Law +2
Speaker embedding models that utilize neural networks to map utterances to a space where distances reflect similarity between speakers have driven recent progress in the speaker re…