34 citations · 111 across the 28 of their papers we have counts for
6 papers · 1 filter
Towards Human Haptic Gesture Interpretation for Robotic Systems
Bibit Bianchini, Prateek Verma, Kenneth Salisbury
Physical human-robot interactions (pHRI) are less efficient and communicative than human-human interactions, and a key reason is a lack of informative sense of touch in robotic sys…
A Framework for Generative and Contrastive Learning of Audio Representations
Prateek Verma, Julius Smith
In this paper, we present a framework for contrastive learning for audio representations, in a self supervised frame work without access to any ground truth labels. The core idea i…
Translating Paintings Into Music Using Neural Networks
Prateek Verma, Constantin Basica, Pamela Davis Kivelson
We propose a system that learns from artistic pairings of music and corresponding album cover art. The goal is to 'translate' paintings into music and, in further stages of develop…
A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications
Prateek Verma, Alessandro Ilic Mezza, Chris Chafe +1
Networked Music Performance (NMP) is envisioned as a potential game changer among Internet applications: it aims at revolutionizing the traditional concept of musical interaction b…
Self-Supervised Learning of Context-Aware Pitch Prosody Representations
Camille Noufi, Prateek Verma
In music and speech, meaning is derived at multiple levels of context. Affect, for example, can be inferred both by a short sound token and by sonic patterns over a longer temporal…
Unsupervised Learning of Audio Perception for Robotics Applications: Learning to Project Data to T-SNE/UMAP space
Prateek Verma, Kenneth Salisbury
Audio perception is a key to solving a variety of problems ranging from acoustic scene analysis, music meta-data extraction, recommendation, synthesis and analysis. It can potentia…