-
1
-
-
11144272602
-
Recent studies on music information processing
-
M. Goto and K. Hirata. Recent studies on music information processing. Acoustical Science and Technology, 25(4):419-425, 2004.
-
(2004)
Acoustical Science and Technology
, vol.25
, Issue.4
, pp. 419-425
-
-
Goto, M.1
Hirata, K.2
-
2
-
-
64849106491
-
Understanding search performance in query-by-humming systems
-
R. B. Dannenberg and N. Hu. Understanding search performance in query-by-humming systems. ISMIR, 2004.
-
(2004)
ISMIR
-
-
Dannenberg, R.B.1
Hu, N.2
-
3
-
-
33846151829
-
Query by beat-boxing: Music information retrieval for the dj
-
A. Kapur, M. Benning, and G. Tzanetakis. Query by beat-boxing: Music information retrieval for the dj. ISMIR, 2004.
-
(2004)
ISMIR
-
-
Kapur, A.1
Benning, M.2
Tzanetakis, G.3
-
5
-
-
2942720260
-
Features for audio and music classification
-
M. F. McKinney and J. Breebaart. Features for audio and music classification. ISMIR, 2003.
-
(2003)
ISMIR
-
-
McKinney, M.F.1
Breebaart, J.2
-
6
-
-
36448975005
-
Factors in automatic musical genre classification of audio signals
-
T. Li and G. Tzanetakis. Factors in automatic musical genre classification of audio signals. IEEE WASPAA, 2003.
-
(2003)
IEEE WASPAA
-
-
Li, T.1
Tzanetakis, G.2
-
7
-
-
84873543378
-
Inferring efficient hierarchical taxonomies for mir tasks: Application to musical instruments
-
S. Essid, G. Richard, and B. David. Inferring efficient hierarchical taxonomies for mir tasks: Application to musical instruments. ISMIR, 2005.
-
(2005)
ISMIR
-
-
Essid, S.1
Richard, G.2
David, B.3
-
8
-
-
0038535979
-
A taxonomy of musical genres
-
F. Pachet and D. Cazaly. A taxonomy of musical genres. RIAO, 2000.
-
(2000)
RIAO
-
-
Pachet, F.1
Cazaly, D.2
-
9
-
-
33845573818
-
Formulating semantic image annotation as a supervised learning problem
-
G. Carneiro and N. Vasconcelos. Formulating semantic image annotation as a supervised learning problem. IEEE CVPR, 2005.
-
(2005)
IEEE CVPR
-
-
Carneiro, G.1
Vasconcelos, N.2
-
12
-
-
33745130997
-
Multiple bernoulli relevance models for image and video annotation
-
S. L. Feng, R. Manmatha, and V. Lavrenko. Multiple bernoulli relevance models for image and video annotation. IEEE CVPR, 2004.
-
(2004)
IEEE CVPR
-
-
Feng, S.L.1
Manmatha, R.2
Lavrenko, V.3
-
13
-
-
36448942685
-
-
PhD thesis, Massachusetts Institute of Technology
-
B. Whitman. Learning the meaning of music. PhD thesis, Massachusetts Institute of Technology, 2005.
-
(2005)
Learning the Meaning of Music
-
-
Whitman, B.1
-
14
-
-
33749056653
-
Automatic record reviews
-
B. Whitman and D. Ellis. Automatic record reviews. ISMIR, 2004.
-
(2004)
ISMIR
-
-
Whitman, B.1
Ellis, D.2
-
15
-
-
84873647364
-
Musical query-by-description as a multiclass learning problem
-
B. Whitman and R. Rifkin. Musical query-by-description as a multiclass learning problem. IEEE MMSP.
-
IEEE MMSP
-
-
Whitman, B.1
Rifkin, R.2
-
16
-
-
36448954782
-
Semantic-audio retrieval
-
M. Slaney. Semantic-audio retrieval. IEEE ICASSP, 2002.
-
(2002)
IEEE ICASSP
-
-
Slaney, M.1
-
19
-
-
0009985115
-
Mel frequency cepstral coefficients for music modeling
-
B. Logan. Mel frequency cepstral coefficients for music modeling. ISMIR, 2000.
-
(2000)
ISMIR
-
-
Logan, B.1
-
20
-
-
0003684449
-
-
Springer
-
T. Hastie, R. Tibshirani, and J. Friedman. The elements of statistical learning: Data mining, inference, and prediction. Springer, 2001.
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
24
-
-
84873438579
-
Improving music genre classification by short-time feature integration
-
A. Meng, P. Ahrendt, and J. Larsen. Improving music genre classification by short-time feature integration. IEEE ICASSP, 2005.
-
(2005)
IEEE ICASSP
-
-
Meng, A.1
Ahrendt, P.2
Larsen, J.3
-
25
-
-
33644630695
-
Novelty detection for spectral similarity of songs
-
A. Flexer, E. Pampalk, and G. Widmer. Novelty detection for spectral similarity of songs. ISMIR, 2005.
-
(2005)
ISMIR
-
-
Flexer, A.1
Pampalk, E.2
Widmer, G.3
|