Digital Signal Processing Reference
In-Depth Information
33. Schuller, B., Weninger, F., Dorfner, J.: Multi-modal non-prototypical music mood analysis in
continuous space: Reliability and performances. In: Proceedings 12th International Society
for Music Information Retrieval Conference, ISMIR 2011, pp. 759-764. Miami (2011)
34. Schuller, B., Kozielski, C., Weninger, F., Eyben, F., Rigoll, G.: Vocalist gender recognition
in recorded popular music. In: Proceedings 11th International Society for Music Information
Retrieval Conference, ISMIR 2010, pp. 613-618. Utrecht, The Netherlands (2010)
35. Weninger, F., Durrieu, J.-L., Eyben, F., Richard, G., Schuller, B.: Combining monaural source
separation with long short-term memory for increased robustness in vocalist gender recog-
nition. In: IEEE Proceedings 36th IEEE International Conference on Acoustics, Speech, and
Signal Processing, ICASSP 2011, pp. 2196-2199. Prague, Czech Republic (2011)
36. Weninger, F., Wöllmer, M., Schuller, B.: Automatic assessment of singer traits in popular
music: Gender, age, height and race. In: Proceedings 12th International Society for Music
Information Retrieval Conference, ISMIR 2011, pp. 37-42. Miami (2011)
37. Grosche, P., Schuller, B., Müller, M., Rigoll, G.: Automatic transcription of recorded music.
Acta Acustica united with Acustica.
98
(2), 199-215(17) (2012)
38. Schuller, B., Rigoll, G.: Self-learning acoustic feature generation and selection for the dis-
crimination of musical signals. In: Proceedings 32. Jahrestagung für Akustik, DAGA 2006,
pp. 285-286. Braunschweig, Germany (2006)
39. Schuller, B., Wallhoff, F., Arsic, D., Rigoll, G.: Musical signal type discrimination based on
large open feature sets. In: IEEE Proceedings 7th IEEE International Conference on Multi-
media and Expo, ICME 2006, pp. 1089-1092. Toronto, Canada (2006)
40. Schuller, B., Schmitt, B.J.B., Arsic, D., Reiter, S., Lang, M., Rigoll, G.: Feature selection and
stacking for robust discrimination of speech, monophonic singing, and polyphonic music. In:
Proceedings 6th IEEE International Conference on Multimedia and Expo, ICME 2005, pp.
840-843. Amsterdam, The Netherlands (2005)
41. Schuller, B., Rigoll, G., Lang, M.: Hmm-based music retrieval using stereophonic feature
information and framelength adaptation. In: Proceedings 4th IEEE International Conference
on Multimedia and Expo, ICME 2003, vol. II, pp. 713-716. Baltimore (2003)
42. Schuller, B., Rigoll, G., Lang, M.: Matching monophonic audio clips to polyphonic recordings.
In: Proceedings 31. Jahrestagung für Akustik, DAGA, 2005, DEGA, pp. 299-300, Munich,
Germany (2005)
43. Weninger, F., Amir, N., Amir, O., Ronen, I., Eyben, F., Schuller, B.: Robust feature extraction
for automatic recognition of vibrato singing in recorded polyphonic music. In: Proceedings
37th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP
2012, pp. 85-88. Kyoto, Japan (2012)
44. Helén, M., Virtanen, T.: Separation of drums from polyphonic music using non-negative
matrix factorization and support vector machine. In Proceedings of EUSIPCO, Antalya,
Turkey (2005)
45. Paulus, J., Virtanen, T.: Drum transcription with non-negative spectrogram factorisation. In:
Proceedings of EUSIPCO, p. 4, EURASIP, Antalya, Turkey (2005)
46. Moreau, A., Flexer, A.: Drum transcription in polyphonic music using non-negative matrix
factorisation. In: Proceedings of 8th International Conference on Music Information Retrieval
(ISMIR), September 23-27, pp. 353-354, Vienna, Austria (2007)
47. Uhle, C., Dittmar, C., Sporer, T.: Extraction of drum tracks from polyphonic music using
independent subspace analysis. In: Proceedings of 4th International Symposium on Indepen-
dent Component Analysis and Blind Signal Separation (ICA), April 2003, pp. 843-848, Nara,
Japan (2003)
48. Smaragdis, P., Brown, J.C.: Non-negative matrix factorization for polyphonic music tran-
scription. In: IEEE Proceedings of WASPAA, pp. 177-180 (2003)
49. Virtanen, T., Ryynänen, M.: A. Mesaros. Combining pitch-based inference and non-negative
spectrogram factorization in separating vocals from polyphonic music. In: ISCA Tutorial and
Research Workshop on Statistical And Perceptual Audition, SAPA 2008, pp. 17-22, ISCA,
Brisbane (2008)
