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

38 citations · 113 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CL2021★ 6 cited

Say What? Collaborative Pop Lyric Generation Using Multitask Transfer Learning

Naveen Ram, Tanay Gummadi, Rahul Bhethanabotla +2

Lyric generation is a popular sub-field of natural language generation that has seen growth in recent years. Pop lyrics are of unique interest due to the genre's unique style and c…

cs.SD2021★ 2 cited

Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning

Nicholas Farris, Brian Model, Richard Savery +1

The task of classifying emotions within a musical track has received widespread attention within the Music Information Retrieval (MIR) community. Music emotion recognition has trad…

cs.CV2020★ 1 cited

Shimon the Robot Film Composer and DeepScore: An LSTM for Generation of Film Scores based on Visual Analysis

Richard Savery, Gil Weinberg

Composing for a film requires developing an understanding of the film, its characters and the film aesthetic choices made by the director. We propose using existing visual analysis…

cs.RO2020★ 1 cited

Emotional Musical Prosody: Validated Vocal Dataset for Human Robot Interaction

Richard Savery, Lisa Zahray, Gil Weinberg

Human collaboration with robotics is dependant on the development of a relationship between human and robot, without which performance and utilization can decrease. Emotion and per…

cs.AI2020★ 9 cited

Shimon the Rapper: A Real-Time System for Human-Robot Interactive Rap Battles

Richard Savery, Lisa Zahray, Gil Weinberg

We present a system for real-time lyrical improvisation between a human and a robot in the style of hip hop. Our system takes vocal input from a human rapper, analyzes the semantic…

cs.RO2020★ 5 cited

Emotional Musical Prosody for the Enhancement of Trust in Robotic Arm Communication

Richard Savery, Lisa Zahray, Gil Weinberg

As robotic arms become prevalent in industry it is crucial to improve levels of trust from human collaborators. Low levels of trust in human-robot interaction can reduce overall pe…

cs.RO2020★ 6 cited

Mechatronics-Driven Musical Expressivity for Robotic Percussionists

Ning Yang, Richard Savery, Raghavasimhan Sankaranarayanan +2

Musical expressivity is an important aspect of musical performance for humans as well as robotic musicians. We present a novel mechatronics-driven implementation of Brushless Direc…

cs.RO2020★ 4 cited

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

Richard Savery, Gil Weinberg

As emotion plays a growing role in robotic research it is crucial to develop methods to analyze and compare among the wide range of approaches. To this end we present a survey of 1…

cs.HC2020★ 1 cited

Establishing Human-Robot Trust through Music-Driven Robotic Emotion Prosody and Gesture

Richard Savery, Ryan Rose, Gil Weinberg

As human-robot collaboration opportunities continue to expand, trust becomes ever more important for full engagement and utilization of robots. Affective trust, built on emotional…

cs.RO2018★ 2 cited

User oriented assessment of vibration suppression by command shaping in a supernumerary wearable robotic arm

Roozbeh Khodambashi, Gil Weinberg, William Singhose +3

Supernumerary Robotic Limbs (SRLs) exhibit inherently compliant behavior due to the elasticity present at the intersection of human tissue and the robot. This compliance, can promi…

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…

cond-mat.soft2016★ 18 cited

Understanding Divergent Thermal Conductivity in Single Polythiophene Chains using Modal Analysis and Sonification

Wei Lv, Michael Winters, Gil Weinberg +1

We used molecular dynamics simulations, the Green-Kubo Modal Analysis (GKMA) method and sonification to study the modal contributions to thermal conductivity in individual polythio…