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Found 8 papers, 3 papers with code
Typological Word Order Correlations with Logistic Brownian Motion
In this study we address the question to what extent syntactic word-order traits of different languages have evolved under correlation and whether such dependencies can be found universally across all languages or restricted to specific language families. To do so, we use logistic Brownian Motion under a Bayesian framework to model the trait evolution for 768 languages from 34 language families.
Analysis of Knowledge Tracing performance on synthesised student data
Knowledge Tracing (KT) aims to predict the future performance of students by tracking the development of their knowledge states.
Compression of end-to-end non-autoregressive image-to-speech system for low-resourced devices
People with visual impairments have difficulty accessing touchscreen-enabled personal computing devices like mobile phones and laptops.
Measuring Sentiment Bias in Machine Translation
Biases induced to text by generative models have become an increasingly large topic in recent years.
Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes
This paper proposes Allophant, a multilingual phoneme recognizer.
An End-to-End Neural Network for Image-to-Audio Transformation
This paper describes an end-to-end (E2E) neural architecture for the audio rendering of small portions of display content on low resource personal computing devices.
Compact Speaker Embedding: lrx-vector
Deep neural networks (DNN) have recently been widely used in speaker recognition systems, achieving state-of-the-art performance on various benchmarks.
