Search Results for author:
Found 4 papers, 0 papers with code
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase
We introduce a data augmentation technique based on byte pair encoding and a BERT-like self-attention model to boost performance on spoken language understanding tasks.
Learning and Evaluating Musical Features with Deep Autoencoders
In this work we describe and evaluate methods to learn musical embeddings.
You Are What You Eat... Listen to, Watch, and Read
This article describes a data driven method for deriving the relationship between personality and media preferences.
A Unit Selection Methodology for Music Generation Using Deep Neural Networks
We explore the use of unit selection and concatenation as a means of generating music using a procedure based on ranking, where, we consider a unit to be a variable length number of measures of music.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
