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2020 AAAI AAAI 2020

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

Abstract

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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Science and Data Science & Analytics and Speech & Audio

Authors

Nishtha Nayar, Divya Lohani

Topics

Machine Learning > Core Methods > Representation Learning Speech & Audio > Synthesis > Speech Enhancement Data Science & Analytics > Methods > Time Series Computer Science > Systems > Computer Networks Deep Learning > Architectures > Recurrent Neural Networks

Keywords

recurrent neural network internet of thing packet loss real-time audio music prediction audio transmission
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