Digital Signal Processing Reference
In-Depth Information
42. Haji, T., Horiguchi, S., Baer, T., Gould, W.: Frequency and amplitude perturbation analysis
of electroglottograph during sustained phonation. J. Acoust. Soc. Am. 80 (1), 58-62 (1986)
43. Schuller, B.: Voice and speech analysis in search of states and traits. In: Salah, A.A., Gevers,
T. (eds.) Computer Analysis of Human Behavior, Advances in Pattern Recognition, chapter
9, pp. 227-253. Springer, Heidelberg (2011)
44. Schuller, B., Gollan, B.: Music theoretic and perception-based features for audio key deter-
mination. J. New Music Res. 41 (2), 175-193 (2012)
45. Harte, C.A., Sandler, M.: Automatic chord identification using a quantised chromagram. In:
Proceedings of the 118th Convention of the AES, May 2005
46. Schuller, B., Dorfner, J., Rigoll, G.: Determination of non-prototypical valence and arousal
in popular music: Features and performances. EURASIP J. Audio Speech Music Process.
(Special Issue Scalable Audio Content Anal.) 735854 , 19 (2010)
47. Schuller, B., Hörnler, B., Arsic, D., Rigoll, G.: Audio chord labeling by musiological modeling
and beat-synchronization. In: Proceedings of the 10th IEEE International Conference on
Multimedia and Expo, ICME 2009, IEEE, pp. 526-529. New York, July 2009
48. Müller, M.: Information Retrieval for Music and Motion. Springer, Berlin (2007)
49. Müller, M., Kurth, F., Clausen, M.: Chroma-based statistical audio features for audio matching.
In: Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and
Acoustics, pp. 275-278, Oct 2005
50. Müller, M., Kurth, F.: Towards structural analysis of audio recordings in the presence of
mucical variations. EURASIP J. Adv. Signal Process. 89686 (2007)
51. Schuller, B., Dibiasi, F., Eyben, F., Rigoll, G.: Music thumbnailing incorporating harmony-
and rhythm structure. In: Detyniecki, M., Leiner, U., Nürnberger, A. (eds.) Adaptive Multi-
media Retrieval: 6th International Workshop, AMR 2008, Berlin, Germany, 26-27 June 2008.
Revised Selected Papers. Lecture Notes in Computer Science, vol. 5811, pp. 78-88. (LNCS)
Springer, Berlin (2010)
52. Gomez, E.: Estimating the tonality of polyphonic audio files: cognitive versus machine learn-
ing modelling strategies. In: Proceedings of the 5th International Conference on Music Infor-
mation Retrieval, Barcelona (2004)
53. Krumhansl, C.L.: Cognitive Foundations of Musical Pitch. Oxford University Press, New
York (1990)
54. Polzin, T.S., Waibel, A.: Emotion-sensitive human-computer interfaces. In: Proceedings of
the ISCA Workshop on Speech and Emotion, pp. 201-206, Belfast (2000)
55. Devillers, L., Vasilescu, I., Lamel, L.: Emotion detection in task-oriented dialog corpus. In:
Proceedings of the ICME 2003, IEEE, Multimedia Human-Machine Interface and Interaction,
pp. 549-552, Baltimore (2003)
56. Schuller, B., Rigoll, G., Lang, M.: Speech emotion recognition combining acoustic features
and linguistic information in a hybrid support vector machine-belief network architecture.
In: Proceedings of the 29th IEEE International Conference on Acoustics, Speech, and Signal
Processing, ICASSP 2004, IEEE, vol. I, pp. 577-580. Montreal, May 2004
57. Schuller, B., Müller, R., Lang, M., Rigoll, G.: Speaker independent emotion recognition by
early fusion of acoustic and linguistic features within ensembles. In: Proceedings of Inter-
speech, Eurospeech, ISCA, pp. 805-809. Lisbo, Sept 2005
58. Schuller, B., Hage, C., Schuller, D., Rigoll, G.: “mister d.j., cheer me up!”: musical and textual
features for automatic mood classification. J. New Music Res. 39 (1), 13-34 (2010)
59. Eyben, F., Wöllmer, M., Valstar, M., Gunes, H., Schuller, B., Pantic, M.: String-based audio-
visual fusion of behavioural events for the assessment of dimensional affect. In: Proceedings
International Workshop on Emotion Synthesis, Representation, and Analysis in Continuous
spacE, EmoSPACE 2011, held in conjunction with the 9th IEEE International Conference on
Automatic Face & Gesture Recognition and Workshops, FG 2011, IEEE, IEEE, pp. 322-329.
Santa Barbara, CA, March 2011
60. Porter, M.F.: An algorithm for suffix stripping. Program |textbf3(14), 130-137 (1980)
61. Batliner, A., Buckow, J., Huber, R., Warnke, V., Nöth, E., Niemann, H.: Prosodic feature
evaluation: brute force or well designed? In: Proceedings of the 14th International Congress
of Phonetic Sciences, vol. 3, pp. 2315-2318, San Francisco, (1999)
Search WWH ::




Custom Search