Research Interests
Bibliography
Content
Based Music Retrieval
- Jonathan T.
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- J. T. Foote,
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1999
- Guodong Guo
and Stan Z. Li, "Content-Based Audio Classification and Retrieval by
Support Vector Machines", IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL.
14, NO. 1, JANUARY 2003
- Stan Z. Li,
"Content-Based Audio Classification and Retrieval Using the Nearest
Feature Line Method", IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING,
VOL. 8, NO. 5, SEPTEMBER 2000
- Erling Wold,
Thorn Blum, Douglas Keislar, and James Wheaton Muscle Fish, "Content-Based
Classification, Search, and Retrieval of Audio", IEEE TRANSACTIONS
ON MULTIMEDIA, 1996
- Kjell Lemstrom,Pauli
Laine, "MUSICAL INFORMATION RETRIEVAL USING MUSICAL PARAMETERS",
International Computer Music Conference, Ann Arbour, 1998.
- Guojun Lu
and Templar Hankinson, "A Technique towards Automatic Audio Classification
and Retrieval", ICASP 1998
Melody
Spotting
- A. Pikrakis,
S. Theodoridis, D. Kamarotos, "Recognition of Isolated Musical Patterns
using Context Dependent Dynamic Time Warping", IEEE Trans. on Speech
and Audio Processing, Vol. 11, pp. 175-184, 2003
- A. Pikrakis,
S. Theodoridis, D. Kamarotos "Recognition of isolated musical patterns
using Discrete Observation Hidden Markov Models", EUSIPCO-98, Rhodes,
Greece.
- A. Pikrakis,
S. Theodoridis, D. Kamarotos "Recognition of isolated musical patterns
in the context of Greek traditional music using Dynamic Time Warping Techniques",
International Computer Music Conference 1997, Thessaloniki, Greece, Sept.
1997.
- Durey, Adriane,
"Melody Spotting Using Hidden Markov Models ", 2nd Annual International
Symposium on Music Information Retrieval 2001
- Masataka Goto,
Satoru Hayamizu, "A Real-time Music Scene Description System: Detecting
Melody and Bass Lines in Audio Signals", Working Notes of the IJCAI-99
Workshop on Computational Auditory Scene Analysis, pp.31-40, August 1999.
Automatic
Music Segmentation and Audio Thumbnailing
- Christopher
Raphael, "Automatic Segmentation of Acoustic Musical Signals Using
Hidden Markov Models", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE
INTELLIGENCE, VOL. 21, NO. 4, APRIL 1999
- George Tzanetakis,
Perry Cook, "MULTIFEATURE AUDIO SEGMENTATION FOR BROWSING AND ANNOTATION",
Proc. 1999 IEEE Workshop on Applications of Signal Processing to Audio and
Acoustics, New Paltz, New York, Oct. 17-20, 1999
- S. Lefevre,
B. Maillard, N. Vincent, "A Two Level Classifier Process for Audio
Segmentation", IAPR International Conference on Pattern Recognition.
Quebec City (Canada). p. 891–894. Aout 2002.
- Massimo Melucci
Nicola Orio, "Evaluating Automatic Melody Segmentation aimed at Music
Information Retrieval", in proceedings JCDL 2002: 310-311
- Matthew Cooper,
and Jonathan Foote, "Summarizing Popular Music via Structural Similarity
Analysis," in Proc. IEEE Workshop on Applications of Signal Processing
to Audio and Acoustics (WASPAA 2003
- J. Foote,
"Automatic Audio Segmentation using a Measure of Audio Novelty."
In Proceedings of IEEE International Conference on Multimedia and Expo,
vol. I, pp. 452-455, 2000.
- Matt Cooper
and Jonathan Foote, "Automatic Music Summarization via Similarity Analysis,"
in Proc. Third International Symposium on Musical Information Retrieval
(ISMIR), pp. 81-85 September 2002, Paris.
- Lie Lu, Stan
Z. Li and Hong-Jiang Zhang, "CONTENT-BASED AUDIO SEGMENTATION USING
SUPPORT VECTOR MACHINES", ACM Multimedia Systems Journal 8 (6), pp.
482-492, March, 2003.
Instrument
identification
- Tetsuro Kitahara,
Masataka Goto, Hiroshi G. Okuno, "Pitch-dependent Musical Instrument
Identification and Its Application to Musical Sound Ontology", Proc.
of the 16th Int'l Conf. on Industrial & Engineering Applications of
Artificial Intelligence and Expert Systems
- Tetsuro Kitahara,
Masataka Goto, Hiroshi G. Okuno, "Musical Instrument Identification
based on F0-dependent Multivariate Normal Distributio", Proc. of the
2003 IEEE Int'l Conf. on Acoustic, Speech and Signal Processing
- Tetsuro Kitahara,
Masataka Goto, Hiroshi G. Okuno, "Hierarchical Clustering of Musical
Instrument Sounds based on Acoustical Similarity", Proc. of the 65th
National Convention of IPSJ, 1P-1, Mar.
- Tetsuro Kitahara,
Masataka Goto, Hiroshi G. Okuno, "Musical Instrument Identification
Considering Pitch-dependent Characteristics of Timbre Space ", Proc.
of the 2002 Autumn Meeting of the Acoustical Society of Japan, 1-1-4, pp.643-644,
Sept. 2002.
- Tetsuro Kitahara,
Masataka Goto, Hiroshi G. Okuno, "Musical Instrument Identification:
A Classifier Considering Pitch-dependent Characteristics of Timbre",
IPSJ SIG notes, Music and Computer, 2002-MUS-46-1, Vol.2002, No.63, pp.1-8,
July 2002.
- Tetsuro Kitahara,
Masataka Goto, Hiroshi G. Okuno, "Musical Instrument Identification
Considering Pitch-dependent Characteristics of Timbre", IPSJ SIG notes,
Music and Computer, 2001-MUS-40-2, Vol.2001, No.45, pp.7-14, May 2001.
- Tetsuro Kitahara,
Masataka Goto, Hiroshi G. Okuno, "Percussive Instrument Identification
using Unsupervised Clustering and Recognition Error Patterns", Proc.
of the 65th National Convention of IPSJ, 1P-3, Mar. 2003.
- Mark Williams,
Ian Kaminskyj, "WEB Based Automatic Classification of Musical Instrument
Sounds", ACMC 2002
- Slim Essid,
Gael Richard, and Bertrand David, "Efficient musical instrument recognition
on solo performance music using basic features", AES 25TH INTERNATIONAL
CONFERENCE, LONDON, UNITED KINGDOM, 2004 JUNE 17–19
- Antti Eronen
"AUTOMATIC MUSICAL INSTRUMENT RECOGNITION", Master of Science
Thesis, TAMPERE UNIVERSITY OF TECHNOLOGY, Department of Information Technology
- Judith C.
Brown, Olivier Houix and Stephen McAdams, "Feature dependence in the
automatic identification of musical woodwind instruments", J. Acoust.
Soc. Am. 109 (3), March 2001
- Brown, J.C.
"Computer identification of musical instruments using pattern recognition
with cepstral coefficients as features." Journal of the Acoustical
Society of America Vol. 105, No. 3 (March 1999): 1933-1941.
- Brown, J.C.
``Computer Identification of Wind Instruments using Cepstral Coefficients''
Proceedings of the 16th International Congress on Acoustics and 135th Meeting
of the Acoustical Society of America, Seattle, Washington, 1889-1890, 1998.
- J. Eggink
and G. J. Brown (2003) Application of missing feature theory to the recognition
of musical instruments in polyphonic audio. Accepted for publication in
the Proceedings of the 4th International Conference on Music Information
Retrieval (ISMIR-2003), Washington, D.C., 26th-30th October.
- Livshin, A.,
Rodet, X. 2004. "Instrument Recognition Beyond Separate Notes - Indexing
Continues Recordings", Presented at ICMC 2004.
Repeated
Pattern Finding
- J.-L. Hsu,
C.-C. Liu, and A. L. P. Chen, "Discovering Nontrivial Repeating Patterns
in Music Data,'' IEEE Transactions on Multimedia, vol. 3, no. 3, pp. 311-325,
2001.
- C.C. Liu,
J. L. Hsu and A. L. P. Chen, "Efficient theme and non-trivial repeating
pattern discovering in music database", Proc. IEEE International Conference
on Data Engineering. 1999.
- L. Hsu, C.
C. Liu and A. L. P. Chen, “Efficient repeating pattern finding in
music databases,” Proc. ACM Seventh International Conference on Information
and Knowledge Management (CIKM). 1998.
- Pierre-Yves
Rolland, "Discovering Patterns in Musical Sequences". Journal
of New Music Research, 28 (1999), No. 4, pp. 334-350
- Hsuan-Huei
Shih, Shrikanth S. Narayanan and C.-C. Jay Kuo, "A DICTIONARY APPROACH
TO REPETITIVE PATTERN FINDING IN MUSIC", 2001 IEEE International Conference
on Multimedia and Expo
- Roger B.
Dannenberg and Ning Hu, "Discovering Musical Structure in Audio Recordings"
in Music and Artificial Intelligence: Second International Conference, ICMAI
2002, Edinburgh, Scotland, UK. Berlin: Springer, 2002. pp. 43-57.
- E. Cambouropolos,
M. Crochemore, C. S. Iliopoulos, L. Mouchard, Y. J. Pinzon, "Algorithms
for Computing Approximate Repetitions in Musical Sequences" ,International
Journal of Computer Mathematics, 79(11), 2002, pp. 1135-1148
- C. S. Iliopoulos,
T. Lecroq, L. Mouchard, Y. J. Pinzon, "Computing Approximate Repetitions
in Musical Sequences", Proc. of Prague Stringology Club Workshop (PSCW'00),
Prague, Czech Republic, Collaborative Report DC-2000-03, 2000, pp. 49-59
- Lartillot,
O., "Discovering musical patterns through perceptive heuristics",
Proc. International Symposium on Music Information Retrieval, 2003.
- Jia-Lien
Hsu, Chih-Chin Liu, Member, IEEE, and Arbee L. P. Chen, Member, IEEE, "Discovering
Nontrivial Repeating Patterns in Music Data", IEEE TRANSACTIONS ON
MULTIMEDIA, VOL. 3, NO. 3, SEPTEMBER 2001
- D. Van Steelant,
B. De Baets, H. De Meyer, M. Leman, J.-P. Martens, L. Clarisse, M. Lesaffre,
"Discovering Structure and Repetition in Musical Audio", in: Proceedings
of Eurofuse Workshop, Varenna, Italy, 2002
- Smith, L.,
& Medina, R. (2001). Discovering themes by exact pattern matching. In
J. S. Downie and D. Bainbridge (Eds.), Proceedings of the Second Annual
International Symposium on Music Information Retrieval: ISMIR 2001. (pp.
31-32).
- K. Lemstrom,
J. Tarhio: Searching monophonic patterns within polyphonic sources. In:
Proc. RIAO '00, Content-Based Multimedia Information Access (Vol. 2), C.I.D.,
Paris, 2000, 1261–1279.
- David Meredith,
Kjell Lemström, Geraint Wiggins, "Algorithms for discovering repeated
patterns in multidimensional representations of polyphonic music.",
Journal of New Music Research, Vol.31, No.4, pp.321-345.
- David Meredith,
Kjell Lemström, Geraint Wiggins, "A geometric approach to computing
repeated patterns in polyphonic music.", Document submitted to UK Patent
office, application number GB 0200203.8.
- Benoit Meudic,
"Musical pattern extraction: from repetition to musical structure",
Proceedings of CMMR (Computer Music Modeling and Retrieval)- Montpellier,
May 2003
- E. Cambouropoulos,
T. Crawford, C.S. Iliopoulos, Pattern processing in melodic sequences: challenges,
caveats and prospects, in Computers and the Humanities 35 (1) (2001) pp.
9-21 .
- Pierre-Yves
Rolland and Jean-Gabriel Ganascia, "Pattern Detection and Discovery:
The Case of Music Data Mining", Proceedings of Exploratory Workshop,
London, UK, September 16-19, 2002.
- J. Foote.
"ARTHUR: Retrieving Orchestral Music by Long-Term Structure."
In Proceedings of the International Symposium on Music Information Retrieval,
Plymouth, Massachusetts, Oct 2000.
Music
Genre Classification
- George Tzanetakis
and Perry Cook, "Musical Genre Classification of Audio Signals",
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 10, NO. 5, JULY 2002
- Jean-Julien
Aucouturier, Francois Pachet , "Representing Musical Genre: A State
of Art", Journal of New Music Research, 2002
- T. Li and
M. Ogihara and Q. Li, “A comparative study oncontent-based music genre
classification,” in Proc. ACM SI-GIR ’03, Toronto, Canada, July
2003, pp. 282–289
- J.J. Burred
and A. Lerch, “A Hierarchical Approach to auto-matic musical genre
classification,” in Proc. 6th Int. Conf. onDigital Audio Effects ’03,
London, Great Britain, Sept. 2003.
Rhythm
and beat tracking
- Masataka Goto and Yoichi
Muraoka: A Beat Tracking System for Acoustic Signals of Music, ACM Multimedia
Proceedings (Second ACM International Conference on Multimedia), pp.365-372,
October 1994.
- Masataka Goto and Yoichi
Muraoka, "Music Understanding At The Beat Level - Real-time Beat Tracking
For Audio Signals ", Working Notes of the IJCAI-95 Workshop on Computational
Auditory Scene Analysis, pp.68-75, August 1995.
- Masoud Alghoniemy, Ahmed
H. Tewfik, "Rhythm and Periodicity Detection in Polyphonic Music",
IEEE Signal Processing Society 1999 Workshop on Multimedia Signal Processing,
September 13-15, 1999, Copenhagen, Denmark
- Simon Dixon, "Automatic
Extraction of Tempo and Beat From Expressive Performances", Journal of
New Music Research 2001, Vol. 30, No. 1, pp. 39–58
- Allen and Dannenberg,
"Tracking Musical Beats in Real Time'' in 1990 International Computer
Music Conference, International Computer Music Association (September 1990),
pp. 140-143.
- Klapuri. " Musical
meter estimation and music transcription ". Paper presented at the Cambridge
Music Processing Colloquium, Cambridge University, UK, 2003.
- Klapuri, A., Eronen,
A., Astola, J., " Analysis of the meter of acoustic musical signals ,"
IEEE Trans. Speech and Audio Processing, to appear.
- Christian Uhle, Juergen
Herre, "ESTIMATION OF TEMPO, MICRO TIME AND TIME SIGNATURE FROM PERCUSSIVE
MUSIC", Proc. of the 6th Int. Conference on Digital Audio Effects (DAFX-03),
London, UK, September 8-11, 2003
- S.Dixon, "A lightweight
multi-agent musical beat", PRICAI 2000: Proceedings of the Pacific Rim
International Conference on Artificial Intelligence, Melbourne, Australia,
2000, pp 778-788.
- S. Dixon, "An Empirical
Comparison of Tempo Trackers" ,8th Brazilian Symposium on Computer Music,
31 July - 3 August 2001, Fortaleza, Brazil, pp 832-840
- S. Dixon, "A Beat
Tracking System for Audio Signals", Proceedings of the Conference on
Mathematical and Computational Methods in Music,Vienna, Austria, December
1999, pp 101-110.
- Goto, M. and Y. Muraoka
(1997). Real-time rhythm tracking for drumless audio signals - chord change
detection for musical decisions, IJCAI’97 Workshop on CASA, pp. 135-144
- Goto, M. and Y. Muraoka
(1998). An audio-based real-time beat tracking system and its applications,
ICMC’98, pp. 17-20
- Cliff, D. (2000) Hang
the DJ: Automatic sequencing and seamless mixing of dance-music tracks. HPL
Technical Report, Bristol.
- J. Foote, and S. Uchihashi,
"The Beat Spectrum: A New Approach to Rhythm Analysis," in Proc.
International Conference on Multimedia and Expo (ICME) 2001
- Masataka Goto, "An
Audio-based Real-time Beat Tracking System for Music With or Without Drum-sounds",
Journal of New Music Research2001, Vol. 30, No. 2, pp. 159–171
- David Rosenthal, Masataka
Goto, Yoichi Muraoka, "Rhythm Tracking Using Multiple Hypotheses",
ICMC Proceedings 1994
- K. Jensen and T. H. Andersen.
"Real-time beat estimation using feature extraction.", In Proceedings
of the Computer Music Modeling and Retrieval Symposium, Lecture Notes in Computer
Science. Springer Verlag, 2003.
- K. Jensen and T. H. Andersen,
"Beat estimation on the beat.", In Proceedings of the IEEE Workshop
on Applications of Signal Processing to Audio and Acoustics (WASPAA), New
York, October 2003.
- Eric D. Scheirer, "Tempo
and beat analysis of acoustic musical signals", J. Acoust. Soc. Am. 103
(1), January 1998
- Stephen Hainsworth, Malcolm
Macleod, "BEAT TRACKING WITH PARTICLE FILTERING ALGORITHMS", 2003
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
- Ye Wang, Miikka Vilermo,
"A COMPRESSED DOMAIN BEAT DETECTOR USING MP3 AUDIO BITSTREAMS",
ACM Multimedia 2001: 194-202
Locating
voice segments within music signals
- A.L. Berenzweig
and D.P.W. Ellis (2001). "Locating Singing Voice Segments within Music
Signals", Proc. IEEE Workshop on Apps. of Sig. Proc. to Acous. and
Audio, Mohonk NY, October 2001. (4pp)
- T. Zhang,
“System and method for automatic singer identification,” HP
Labs Technical Report, Dec. 2002.
- G.J. Brown
and M. Cooke, “Computational auditory scene analysis,” Computer
Speech and Language, vol.8, no.2, pp.297-336, 1994.
- Chih-Chin
Liu, Chuan-Sung Huang, “A singer identification technique for content-based
classification of MP3 music objects”, Conference on Information and
Knowledge Management, Proceedings of the eleventh international conference
on Information and knowledge management
- B. Whitman,
G. Flake, and S. Lawrence, “Artist detection in music with Minnowmatch,”
presented at IEEE Workshop on Neural Networks for Signal Processing, Falmouth,
MA, 2001.
- E. D. Scheirer
and M. Slaney, “Construction and evaluation of a robust multifeature
speech/music discriminator,” presented at IEEE Conference on Acoustics,
Speech, and Signal Processing (ICASSP), Munich, Germany, 1997.
- Kim, Y. E.
& Whitman, B. (2002). "Singer identification in popular music recordings
using voice coding features." In Proceedings of Interational Conference
on Music Information Retrieval (pp. 164–169), Paris, France.
- Liu, C. C.
& Huang, C. S. (2002). "A singer identification technique for content-based
classification of MP3 music objects.", In Proceedings of International
Conference on Information and Knowledge Management (pp. 438–445),
McLean, Virginia.
- Reynolds,
D. A. & Rose, R. C. (1995). "Robust text-independent speaker identification
using Gaussian mixture speaker models.", IEEE Transactions on Speech
and Audio Processing, 3(1), 72?83.
- C. K. Wang,
R. Y. Lyu, and Y. C. Chiang, “An automatic singing transcription system
with multilingual singing lyric recognizer and robust melody tracker,”
Proc. Euro. Conf. Speech Communication and Technology (Eurospeech), 2003.
- W. H. Tsai,
and H. M. Wang, “Automatic singer recognition of popular music recordings
via estimation and modeling of solo vocal signal,” submitted to IEEE
Transactions on Speech and Audio Processing.
- W. H. Tsai,
and H. M. Wang, “Towards automatic identification of singing language
in popular music recordings,” to appear in Proc. International Conference
on Music Information Retrieval, 2004.
- Wu Chou and
Liang Gu, "Robust Singing Detection in Speech/Music Discriminator Design,"
International Conference on Acoustics, Speech, and Signal Processing, 2001
- Mark A. Bartsch,
and Gregory H. Wakefield, "Singing Voice Identification Using Spectral
Envelope Estimation", IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING,
VOL. 12, NO. 2, MARCH 2004
Hidden
Markov Models
- Rabiner, L.
R., ”A tutorial on hidden Markov models and selected applications
in speech recognition”, Proceedings of the IEEE, volume 7, number
2, pages 257-286, 1989
- J. Picone,
"Continuous Speech Recognition Using Hidden Markov Models", IEEE
ASSP Magazine, vol. 7, no. 3, pp. 26-41, July 1990.
- “Factorial
hidden Markov models (1995)” Zoubin Ghahramani, Michael I. Jordan,
Proc. Conf. Advances in Neural Information Processing Systems, NIP
- M. Ostendorf,
V. Digalakis, O. A. Kimball, "From HMMs to Segment Models: A Unified
View of Stochastic Modeling for Speech Recognition", IEEE transactions
on Speech and Audio Processing, vol.4, no. 5, September 1995