contact
course info
MUSI-6201 — Computational Music Analysis
Part 1: Organizational
alexander lerch
August 17, 2015
contact
course info
organizational
links & contact
contact info
alexander lerch (lecture)
email: alexander.lerch@gatech.edu
www: www.linkedin.com/in/lerch
office: Couch 205B
office hours: Mon 4:30–5:30pm and by appointment
chih-wei wu (TA)
email: cwu307@gatech.edu
classes
Mon & Wed, 3:05–4:25pm in Couch 102
additional tutorial group: TBD
class resources
t-square:
syllabus, grades, slides: t-square.gatech.edu
github:
slides sources (latex)
https://github.com/alexanderlerch/ACA-Slides
contact
course info
organizational
links & contact
contact info
alexander lerch (lecture)
email: alexander.lerch@gatech.edu
www: www.linkedin.com/in/lerch
office: Couch 205B
office hours: Mon 4:30–5:30pm and by appointment
chih-wei wu (TA)
email: cwu307@gatech.edu
classes
Mon & Wed, 3:05–4:25pm in Couch 102
additional tutorial group: TBD
class resources
t-square:
syllabus, grades, slides: t-square.gatech.edu
github:
slides sources (latex)
https://github.com/alexanderlerch/ACA-Slides
contact
course info
organizational
links & contact
contact info
alexander lerch (lecture)
email: alexander.lerch@gatech.edu
www: www.linkedin.com/in/lerch
office: Couch 205B
office hours: Mon 4:30–5:30pm and by appointment
chih-wei wu (TA)
email: cwu307@gatech.edu
classes
Mon & Wed, 3:05–4:25pm in Couch 102
additional tutorial group: TBD
class resources
t-square:
syllabus, grades, slides: t-square.gatech.edu
github:
slides sources (latex)
https://github.com/alexanderlerch/ACA-Slides
contact
course info
organizational
goals & requirements
goals
introduction to algorithmic approaches in audio content
analysis
implementations of MIR approaches in matlab
scientific methods (literature survey, design, implementation,
evaluation, presentation)
team work and project management
requirements
digital audio signal processing
matlab script language
contact
course info
organizational
goals & requirements
goals
introduction to algorithmic approaches in audio content
analysis
implementations of MIR approaches in matlab
scientific methods (literature survey, design, implementation,
evaluation, presentation)
team work and project management
requirements
digital audio signal processing
matlab script language
contact
course info
organizational
course materials
text book: “An Introduction to Audio Content
Analysis”:
ieeexplore.ieee.org/servlet/opac?
bknumber=6266785
additional reading
Li, T., Ogihara, M. and Tzanetakis, G. (Eds.)
“Music Data Mining”. CRC Press (2012)
Klapuri, A. and Davy, M. (Eds.) “Signal
Processing Methods for Music Transcription”.
Springer (2006)
Mueller, M. “Information Retrieval for Music
and Motion”. Springer (2007)
software: Matlab www.matlab.gatech.edu
contact
course info
organizational
course materials
text book: “An Introduction to Audio Content
Analysis”:
ieeexplore.ieee.org/servlet/opac?
bknumber=6266785
additional reading
Li, T., Ogihara, M. and Tzanetakis, G. (Eds.)
“Music Data Mining”. CRC Press (2012)
Klapuri, A. and Davy, M. (Eds.) “Signal
Processing Methods for Music Transcription”.
Springer (2006)
Mueller, M. “Information Retrieval for Music
and Motion”. Springer (2007)
software: Matlab www.matlab.gatech.edu
contact
course info
organizational
course materials
text book: “An Introduction to Audio Content
Analysis”:
ieeexplore.ieee.org/servlet/opac?
bknumber=6266785
additional reading
Li, T., Ogihara, M. and Tzanetakis, G. (Eds.)
“Music Data Mining”. CRC Press (2012)
Klapuri, A. and Davy, M. (Eds.) “Signal
Processing Methods for Music Transcription”.
Springer (2006)
Mueller, M. “Information Retrieval for Music
and Motion”. Springer (2007)
software: Matlab www.matlab.gatech.edu
contact
course info
organizational
assessment
25%: assignments (equally weighted)
1
2
3
4
pitch detection
onset detection
genre classification
structure detection
10%: mid-term exam
5%: participation
25%: quizzes
both unannounced and announced (increased difficulty)
35% project:
40%
30%
20%
10%
algorithmic design and implementation
final paper
final poster presentation & project demo
mid-term presentation
contact
course info
organizational
to do
1
find group partner
2
install Matlab (Octave/Freemat)
3
identify project topic
examples: drum classification, speech vs. sung voice
classification, bass line detection, music recommendation,
stereo visualization, theme identification, structure detection,
theme detection, playing technique categorization,
temperament analysis, language detection, lyrics alignment,
venue classification . . .
contact
course info
organizational
to do
1
find group partner
2
install Matlab (Octave/Freemat)
3
identify project topic
examples: drum classification, speech vs. sung voice
classification, bass line detection, music recommendation,
stereo visualization, theme identification, structure detection,
theme detection, playing technique categorization,
temperament analysis, language detection, lyrics alignment,
venue classification . . .
contact
course info
organizational
to do
1
find group partner
2
install Matlab (Octave/Freemat)
3
identify project topic
examples: drum classification, speech vs. sung voice
classification, bass line detection, music recommendation,
stereo visualization, theme identification, structure detection,
theme detection, playing technique categorization,
temperament analysis, language detection, lyrics alignment,
venue classification . . .
contact
course info
organizational
bug hunting competition
find errors in slides and textbook and compete for
1st price: hardcover textbook ACA (plus 3 Grade Points)
2nd price: pizza at Rocky Mountain (plus 2 Grade Points)
3rd price: sublime donut (plus 1 Grade Points)
errors
typo & minor grammatical errors: 1 Point
error in equation: 2 Points
incomplete or wrong description: 3 Points
errors already listed on
www.audiocontentanalysis.org/errata do not count
contact
course info
organizational
bug hunting competition
find errors in slides and textbook and compete for
1st price: hardcover textbook ACA (plus 3 Grade Points)
2nd price: pizza at Rocky Mountain (plus 2 Grade Points)
3rd price: sublime donut (plus 1 Grade Points)
errors
typo & minor grammatical errors: 1 Point
error in equation: 2 Points
incomplete or wrong description: 3 Points
errors already listed on
www.audiocontentanalysis.org/errata do not count