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Speech-Based Music Information Retrieval System

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dc.contributor.author Singh, Jagjit
dc.date.accessioned 2019-01-23T23:28:31Z
dc.date.copyright 2019 en_US
dc.date.issued 2019-01-23
dc.identifier.uri https://dspace.library.uvic.ca//handle/1828/10530
dc.description.abstract Music is considered as the art form that is completely developed and closest in inter- action with the human race. Recent years have seen rapid growth in the use of mobile devices making it more accessible to humans. The close alliance of humans with music has resulted in the paramount requirement of developing and implementing intelli- gent conversational agents to aid music exploration. This project talks about the design strategy and implementation of an end-to-end intelligent conversational agent based on a natural language user interface for listening and learning about music. The system includes a virtual assistant based on Amazon’s Alexa that combines with natural language processing, knowledge representation, and music recommendation engine. I further specify and list the limitations of the existing system and provide guidelines for future development of such music user interfaces. en_US
dc.language.iso en en_US
dc.rights Available to the World Wide Web en_US
dc.subject Conversational Agents en_US
dc.subject Alexa Skills Kit en_US
dc.subject Music Information Retrieval en_US
dc.title Speech-Based Music Information Retrieval System en_US
dc.type Project en_US
dc.contributor.supervisor Tzanetakis, George
dc.degree.department Department of Computer Science en_US
dc.degree.level Master of Science M.Sc. en_US
dc.description.scholarlevel Graduate en_US
dc.description.embargo 10000-01-01


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