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Does singing style correlate to social behaviour? - a revision of the Cantometric descriptor vocal tension and its correlation to the subordination of women in society Aparat and AQ, NAQ and H1-H2 descriptors will be calculated. An SVM model will then be trained based on ground truth and these descriptors. The model is then evaluated on the left out test set. 2. Optimize to arrive at the expected contour of the glottal wave graph. In various publications on inverse filtering for speech and singing voice parameter optimisation is described in terms of arriving at the expected form of the glottal wave graph (Lehto et al. 2007, Airas 2008). This form is characterised by a bell-like shape of the pulse with a clear closed phase (except breathy phonation), a rather steep closing phase and a strong negative peak of the derivative. Time-domain descriptors of the glottal wave such as normalised magnitude of the negative peak of the derivative or normalised closed quotient can be used to capture the above qualities of the glottal wave graph. These descriptors can easily be calculated based on the glottal wave descriptors returned by Aparat. The results of two optimisation strategies will have to be compared and if significant differences arise, they'll have to be analysed and accounted for. 4. Conclusion If the described experiment is successful, TKK Aparat will be extended by an automation module and a phonation mode detection module. A generalisation of the strategy can be attempted and evaluated on a varied dataset such as the Cantometrics Training Tapes collection. If this can be achieved, an opportunity will present itself to revise the Cantometrics approach and to re-investigate its exciting and speculative findings about the main question of ethnomusicology: the relationship of music and culture. Acknowledgements I'd like to thank my supervisors Geraint Wiggins, Christophe Rhodes and Tim Crawford as well as Victor Grauer, the co-inventor of Cantometrics, for their invaluable contribution. References Airas, M. (2008). TKK aparat: An environment for voice inverse filtering and parameterization. Logopedics Phoniatrics Vocology, 33:49–64. Drugman, T., Dubuisson, T., Moinet, A., D’Alessandro, N., and Dutoit, T. (2008). Glottal source estimation robustness. In Proc. of the IEEE International Conference on Signal Processing and Multimedia Applications (SIGMAP08). Drugman, T., Bozkurt, B., and Dutoit, T. (2012). A comparative study of glottal source estimation techniques. Computer Speech and Language, 26:20–34. Fritzell, B. (1992). Inverse filtering. Journal of Voice, 6(2):111–114. Gudnason, J., Mark R.P., Thomas, D. P. E., and Naylor, P. A. (2012). Data-driven voice source waveform analysis and synthesis. Speech Communication, 54:199–211. Howard, D. M. (2010). Electrolaryngographically revealed aspects of the voice source in singing. Logopedics Phoniatrics Vocology, 35(2):81–89. Lehto, L., Airas, M., Björkner, E., Sundberg, J., and Alku, P. (2007). Comparison of two inverse filtering methods in parameterization of the glottal closing phase characteristics in different phonation types. J Voice, 21(2):138–50. Lomax, A. (1968). Folk Song Style and Culture. Transaction Books, New Brunswick, New Jersey. Lomax, A. (1976). Cantometrics: An Approach To The Anthropology Of Music. Number 94720. The University of California, Extension Media Center, Berkeley, California. accompanied by 7 cassettes. Orr, R., Cranen, B., de Jong, F., d’Alessandro, C., and Scherer, K. (2003). An investigation of the parameters derived from the inverse filtering of flow and microphone signals. In Voice Quality: 237
Does singing style correlate to social behaviour? - a revision of the Cantometric descriptor vocal tension and its correlation to the subordination of women in society Functions, Analysis and Synthesis (VOQUAL ’03). Taalwetenschap Otorhinolaryngology. Sundberg, J. (1987). The science of the singing voice. Illinois University Press. Svec, J. G. and Granqvist, S. (2010). Guidelines for selecting microphones for human voice production research. American Journal of Speech-Language Pathology, 19:356–368. Pulakka, H. (2005). Analysis of human voice production using inverse filtering, high-speed imaging, and electroglottography. Master’s thesis, HELSINKI UNIVERSITY OF TECHNOLOGY, Department of Computer Science and Engineering. Walker, J. and Murphy, P. (2007). A review of glottal waveform analysis. In PROGRESS IN NONLINEAR SPEECH PROCESSING, volume 4391 of Lecture Notes in Computer Science, pages 1–21. Springer. 238
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Reservados todos los derechos. Ni l
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ÍNDICE Preface …. …………
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Preface The III Interdisciplinary C
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Ciencias de la Salud. De estos caso
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Hacia una revisión del concepto
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El Romance de La loba parda y la Bu
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Flamenco - Jazz: una perspectiva an
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EL canto (cante) al Cristo de la C
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Estudio de métodos para transcribi
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El zapateado flamenco: naturaleza f
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PERFIL FLAMENCO: ESTEBAN SANLÚCAR
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Federico García Lorca y la música
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El flamenco como expresión de lo s
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The legacy of Félix Fernández Gar
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El flamenco como epistemología par
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La audición en los más pequeños
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Estrategias didácticas para el uso
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Arturo Pavón, recorrido diacrónic
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