MUSIC COLLAB: An IoT and ML Based Solution for Remote Music Collaboration (Student Abstract)

Authors

  • Nishtha Nayar Shiv Nadar University
  • Divya Lohani Shiv Nadar University

DOI:

https://doi.org/10.1609/aaai.v34i10.7214

Abstract

Communication using mediums like video and audio is essential for a lot of professions. In this paper, interaction with real-time audio transmission is looked upon using the tools in the domains of IoT and machine learning. Two transport layer protocols - TCP and UDP are examined for audio transmission quality. Further, different RNN models are examined for their efficiency in predicting music and being used as a substitute in case of loss of packets during transmission.

AAAI-20 Proceedings Cover

Downloads

Published

2020-04-03

How to Cite

Nayar, N., & Lohani, D. (2020). MUSIC COLLAB: An IoT and ML Based Solution for Remote Music Collaboration (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13883-13884. https://doi.org/10.1609/aaai.v34i10.7214

Issue

Vol. 34 No. 10: Issue 10: AAAI-20 Student Tracks

Section

Student Abstract Track