MUSIC COLLAB: An IoT and ML Based Solution for Remote Music Collaboration (Student Abstract)
DOI:
https://doi.org/10.1609/aaai.v34i10.7214Abstract
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.
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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
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Student Abstract Track