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Audio Content Analysis
Inhalt: Die Analyse von Audiosignalen zur Extraktion von
musikalischen Merkmalen wie Melodie, Tempo, Genre, etc. erfordert
angepaßte Ansätze der digitalen Audiosignalverarbeitung. Diese Vorlesungs-Übungskombination stellt Lösungsansätze vor, die dann
praktisch in der begleitenden Matlabübung umgesetzt werden können.
Inhalt der Vorlesung: Vorstellung von Algorithmen der digitalen Signalverarbeitung zur Analyse von Audiodaten wie Tonhöhenerkennung, Tempoerkennung, etc.
Dozent: Dr. Alexander Lerch
Inhalt der Übung: Praktische Übung zur Umsetzung von Algorithmen zur Signalanalyse in Matlab.
Dozent: Dipl.-Ing. Tim Flohrer
Zeitraum und Ort
Zeitraum: 10.04.2012 - 11.07.2012
Wochentag / Zeit d. Vorlesung: Mo, 18-20 Uhr
Wochentag / Zeit d. Übung: Mi, 16-18 Uhr
Raum d. Vorlesung: TA 201
Raum d. Übung: H 3017
Weitere Informationen
Veranstaltungstyp:
Umfang: 4 SWS (VL+UE)
Angebot: jedes 2. Semester
Voraussetzung: Kenntnisse der digitalen Audiosignalverarbeitung, Matlabkenntnisse
Veranstaltungsnummer: 0135 L XXX
Material und Skripte
Introduction:
- J. Stephen Downie: Music Information Retrieval, In: Blaise Cronin (Ed.), Annual Review of Information Science and Technology, Vol: 37, Information Today Books, pp 295-340, 2003
- Nicola Orio: Music Retrieval: A Tutorial and Review, Foundations and Trends® in Information Retrieval: Vol. 1: No 1, pp 1-90, 2006.
Fundamentals:
- Julius O. Smith: Mathematics of the Discrete Fourier Transformation with Audio Applications, 2nd Edition
- Julius O. Smith: Introduction to Digital Filters with Audio Applications
- Julius O. Smith: Spectral Audio Signal Processing, March 2007 Draft
Low Level Features:
Onset Detection:
- Bello, J.P. Daudet, L. Abdallah, S. Duxbury, C. Davies, M. Sandler, M.B.: A Tutorial on Onset Detection in Music Signals, IEEE Trans. on Speech and Audio Processing 13(5), 2005
- Dixon, Simon: Onset Detection Revisited, Proc. of the 9th International Conference on Digital Audio Effects (DAFx), 2006
- MIREX 2006: Audio Onset Detection Evaluation
Beat Tracking:
- Large, Edward W.: Beat Tracking with a Nonlinear Oscillator. In: Proc. of the 14thInternational Joint Conference on Artificial Intelligence (IJCAI). Montreal, August 1995
- Goto, Masataka ; Muraoka, Yoichi: Music Understanding At The Beat Level – Real-time Beat Tracking For Audio Signals. In: Proc. of the Workshop on ComputationalAuditory Scene Analysis (IJCAI), 1995
- Scheirer, Eric D.: Tempo and beat analysis of acoustic musical signals. In: Journal of the Acoustical Society of America (JASA) 103 (1998), No. 1, pp. 588–601
- Dixon, Simon: A Lightweight Multi-Agent Musical Beat Tracking System. In: Proc. of the Pacific Rim International Conference on Artificial Intelligence (PRICAI). Melbourne, August/September 2000
- Gouyon, Fabien ; Herrera, Perfecto: A Beat Induction Method for Musical Audio Signals. In: Proc. of the 4th European Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS). London, April 2003
- Peeters, Geoffrey: Time variable tempo detection and beat marking. In: Proc. of the International Computer Music Conference (ICMC). Barcelona, September 2005
- MIREX 2006: Audio Beat Tracking Evaluation
Monophonic Pitch Tracking:
- Cuadra, Patricio de la ; Master, Aaron ; Sapp, Craig: Efficient Pitch Detection Techniques for Interactive Music, In: Proc. of the International Computer Music Conference (ICMC), Habana, 2001
- Cheveigne, Alain de ; Kawahara, Hideki: YIN, a fundamental frequency estimator for speech and music, In: Journal of the Acoustical Society of America (JASA) 111 (2002), No. 4, pp. 1917–1930
Polyphonic Pitch Tracking:
- Cheveigné, Alain de ; Kawahara, Hideki: Multiple period estimation and pitch perception model. In: Speech Communication 27 (1999), pp. 175–185
- Karjalainen, Matti ; Tolonen, Tero: Multi-pitch and periodicity analysis model for sound separation and auditory scene analysis. In: Proc. of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Phoenix, March 1999
- Klapuri, Anssi P.: A Perceptually Motivated Multiple-F0 Estimation Method. In:
Proc. of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). New Paltz, October 2005
Tuning Frequency Estimation:
- Lerch, Alexander: On the Requirement of Automatic Tuning Frequency Estimation, In: Proc. of the 7th International Conference on Music Information Retrieval (ISMIR). Victoria, October 2006
- Dressler, Karin ; Streich, Sebastian: Tuning Frequency Estimation using Circular Statistics. In: Proc. of the 8th International Conference on Music Information Retrieval (ISMIR). Wien, September 2007
Key Estimation:
- Izmirli, Özgür: Template based key finding from audio. In: Proc. of the International Computer Music Conference (ICMC). Barcelona, September 2005
- Peeters, Geoffroy: Chroma-based estimation of musical key from audio-signal analysis, In: Proc. of the 7th International Conference on Music Information Retrieval (ISMIR). Victoria, October 2006
Chord Detection:
- Bello, Juan Pablo ; Pickens, Jeremy: A Robust Mid-level Representation for Harmonic Content in Music Signals. In: Proc. of the 6th International Conference on Music Information Retrieval (ISMIR). London, September 2005
- Papadopoulos, Hélène ; Peeters, Geoffroy: Large-scale study of chord estimation algorithms based on chroma representation and HMM. In: Proc. of the International Workshop on Content-Based Multimedia Indexing (CBMI). Bordeaux, 2007
Audio-to-Audio Alignment:
- Hu, Ning ; Dannenberg, Roger B. ; Tzanetakis, George: Polyphonic Audio Matching and Alignment for Music Retrieval. In: Proc. of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). New Paltz, October 2003
- Turetsky, Robert J. ; Ellis, Daniel P. W. : Ground-Truth Transcriptions of Real
Music from Force-Aligned MIDI Syntheses. In: Proc. of the 4th International Conference on Music Information Retrieval (ISMIR). Baltimore, October 2003
Musical Genre Classification:
- Tzanetakis, George ; Cook, Perry: Musical Genre Classification of Audio Signals. In: Trans. on Speech and Audio Processing 10 (2002), No. 5, pp. 293–302
- Burred, Juan José ; Lerch, Alexander: A hierarchical approach to automatic musical genre classification. In: Proc. of the 6th Int. Conference on Digital Audio Effects (DAFx). London, September 2003
- Scaringella, Nicola ; Zoia, Giorgio ; Mlynek, Daniel: Automatic genre classification of music content: a survey . In: Signal Processing Magazine 23 (2006), No. 2, pp. 133–141
Audio Fingerprinting:
Music Performance Analysis: