Music Information Retrieval with Deep Learning

딥러닝 기반 음악정보학

education program·graduate course·unknown·also: GITA397

Two-credit graduate curriculum course implementing deep-learning tasks across music classification, tagging, source separation, transcription, symbolic generation and sound synthesis.

Recorded facts

Official site	https://scc.sogang.ac.kr/gsinfo/gsinfo04_3.html ↗
Geography	Seoul, South Korea
course code	GITA397
price	Included in university tuition; course-specific amount not disclosed
title	GITA397 딥러닝 기반 음악정보학
format	unknown
topics	music classification; music tagging; source separation; automatic transcription; symbolic music generation; sound synthesis
duration	2 credits
end date	unknown
language	Korean; English title supplied by provider
location	Sogang University, Seoul
provider	Sogang University Graduate School of Information & Technology / AI·SW Graduate School
recurrence	Current curriculum; next taught semester not published
start date	unknown
instructors	unknown
program type	graduate course
prerequisites	Graduate programme enrolment; technical prerequisites not stated
program state	active_schedule_unverified
target audience	AI·SW graduate students; data-science and AI graduate students
learning outcomes	Implement representative MIR tasks with deep learning; understand music-data characteristics and suitable preprocessing
application deadline	Institutional course registration
credential or outcome	2 graduate credits
scholarship and funding	No course-specific funding disclosed