Speech-Based Music Information Retrieval System
| dc.contributor.author | Singh, Jagjit | |
| dc.contributor.supervisor | Tzanetakis, George | |
| dc.date.accessioned | 2019-01-23T23:28:31Z | |
| dc.date.copyright | 2019 | en_US |
| dc.date.issued | 2019-01-23 | |
| dc.degree.department | Department of Computer Science | |
| dc.degree.level | Master of Science M.Sc. | en_US |
| 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.description.scholarlevel | Graduate | en_US |
| dc.identifier.uri | http://hdl.handle.net/1828/10530 | |
| 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 |
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