publication . Doctoral thesis . 2018

Bridging Chasms in Hindustani Music Retrieval

Ross, Joe Cheri;
Open Access English
  • Published: 30 Apr 2018
Abstract
Development of a music recommender system, one of the key applications of Music Information Retrieval (MIR), necessitates research into methods to represent and retrieve music information efficiently. Considering the specific characteristics of each music culture and the diverse requirements thereof, the methods must be culture-aware with many of the associated tasks being culture-specific. This research is motivated by the importance of a music recommendation system for Hindustani music. The investigated tasks focus primarily on information extraction from melodic audio and text content, realizing the significance of information from multi-modal sources. In the...
Subjects
free text keywords: Music information retrieval, Natural language processing, Hindustani music, motif, Music information retrieval, Natural language processing, Hindustani music, motif
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Funded by
EC| COMPMUSIC
Project
COMPMUSIC
Computational models for the discovery of the world's music
  • Funder: European Commission (EC)
  • Project Code: 267583
  • Funding stream: FP7 | SP2 | ERC
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Zenodo
Doctoral thesis . 2018
Provider: Datacite
Open Access
Zenodo
Doctoral thesis . 2018
Provider: Datacite
Open Access
ZENODO
Doctoral thesis . 2018
Provider: ZENODO
Open Access
Zenodo
Doctoral thesis . 2018
Provider: Datacite
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