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1.
Automatic Transcription of Music
The research of Anssi Klapuri
at Tampere University of Technology presented by Andrew BrouseFebruary 13, 2003MUMT-614
2. Automatic Transcription of Music: How do we do it?
3. Pitch
monophonic
polyphonic
Rhythm
Sound separation
Automatic transcription Automatic Transcription of Music: Approaches
4. methods are well established but susceptible to improvement
“Pitch Estimation using Multiple Independant Time-Frequency Windows”
“Wide-band Pitch Estimation for Natural Sound Sources with Inharmonicities” Pitch : monophonic
5. Area of intense investigation
“Number Theoretical Means of Resolving a Mixture of Several Harmonic Sounds”
“Robust Multipitch Estimation for the Analysis and Manipulation of Polyphonic Musical Sounds” Pitch : polyphonic
6. “Separation of Harmonic Sounds using Multipitch Analysis and Iterative Parametric Estimation”
“Multipitch Estimation and Sound Separation by the Spectral Smoothness Principle”
“Separation of Harmonic Sounds Using Linear Models for the Overtone Series” Pitch : polyphonic
7. “Measuring the similarity of Rhythmic Patterns”
“Locating Segments with Drums in Music Signals”
“Sound Onset Detection by Applying Psychoacoustic Knowledge”
“Qualitative and Quantitative Aspects in the Design of Periodicity Estimation Algorithms” Rhythm
8. Separate spectral/inharmonic, scene recognition
“Recognition of Everyday Auditory Scenes”
“Efficient Calculation of a Physiologically Motivated Representation for Sound”
“Means of Integrating Audio Content Analysis Algorithms” Sound separation
9.
“Automatic Transcription of Music”
“Automatic Transcription of Music Recordings” Automatic transcription
10. Example of Transcription and re-creation of musical sounds Automatic transcription
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13. What is the greatest pop song ever written? Automatic transcription
14. Anssi Klapuri at Tampere University of Technology:
http://www.cs.tut.fi/~klap/iiro/index.html Automatic transcription