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Networked Remote Music Collaboration using Machine LearningPublished in Institute of Electrical and Electronics Engineers Inc.
2020
Pages: 708 - 713
Communication using mediums like video and audio are essential for a lot of professions. In this paper, interaction with real time audio transmission is looked upon using the tools provided by the domains of IoT and Machine Learning. The transport layer protocols - TCP and UDP are examined for audio transmission quality. Further, different Recurrent Neural Networks (RNN) models are examined for their efficiency in predicting music in case of loss of packets during transmission. These predictions fill in the gaps and help prevent any lag in a real time performance/jam where the loss of musical notes can be a hindrance. © 2020 IEEE.
Topics: Network packet (54)%54% related to the paper, Transmission (telecommunications) (53)%53% related to the paper, Recurrent neural network (52)%52% related to the paper and Server (50)%50% related to the paper
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Published in Institute of Electrical and Electronics Engineers Inc.
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