Now showing items 1-3 of 3
Addressing the data challenge in automatic drum transcription with labeled and unlabeled data
(Georgia Institute of Technology, 2018-07-23)
Automatic Drum Transcription (ADT) is a sub-task of automatic music transcription that involves the conversion of drum-related audio events into musical notations. While noticeable progress has been made in the past by ...
Supervised feature learning via sparse coding for music information rerieval
(Georgia Institute of Technology, 2015-04-24)
This thesis explores the ideas of feature learning and sparse coding for Music Information Retrieval (MIR). Sparse coding is an algorithm which aims to learn new feature representations from data automatically. In contrast ...
Storage in Collaborative Networked Art
(Georgia Institute of Technology, 2009)
This chapter outlines some of the challenges and opportunities associated with storage in networked art. Using comparative analyses of collaborative networked music as a starting point, this chapter explores how networked ...