activity
20162021
most citedA Unit Selection Methodology for Music Generation Using Deep Neural Networks

38 citations · 63 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase

Akhila Yerukola, Mason Bretan, Hongxia Jin

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. We compare…

cs.SD2017★ 5 cited

Learning and Evaluating Musical Features with Deep Autoencoders

Mason Bretan, Sageev Oore, Doug Eck +1

In this work we describe and evaluate methods to learn musical embeddings. Each embedding is a vector that represents four contiguous beats of music and is derived from a symbolic…

cs.SI2016

You Are What You Eat... Listen to, Watch, and Read

Mason Bretan

This article describes a data driven method for deriving the relationship between personality and media preferences. A qunatifiable representation of such a relationship can be lev…

cs.RO2016★ 20 cited

A Robotic Prosthesis for an Amputee Drummer

Mason Bretan, Deepak Gopinath, Philip Mullins +1

The design and evaluation of a robotic prosthesis for a drummer with a transradial amputation is presented. The principal objective of the prosthesis is to simulate the role finger…

cs.SD2016★ 38 cited

A Unit Selection Methodology for Music Generation Using Deep Neural Networks

Mason Bretan, Gil Weinberg, Larry Heck

Several methods exist for a computer to generate music based on data including Markov chains, recurrent neural networks, recombinancy, and grammars. We explore the use of unit sele…