Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Profiling and Its Facets Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

7. Feature Engineering for Profiling

verfasst von : Rita Singh

Erschienen in: Profiling Humans from their Voice

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Humans are able to perceive many profile parameters from voice. Such perceptual relationships between voice and parameters show that there is information relevant to profiling in the voice signal, but may not tell us what that information is. If a study finds perceptual relations between some parameter and specific features derived from voice, then that indicates the existence of a statistical relationship between those features and voice, which may be directly causal, or relate to a common underlying cause. Such features will usually be directly useful in profiling.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Qualitative Aspects of the Voice Signal
Nächstes Kapitel Mechanisms for Profiling
Literatur
1.
Fowler, C. A., & Saltzman, E. (1993). Coordination and coarticulation in speech production. Language and Speech, 36(2–3), 171–195.CrossRef
2.
Maeda, S. (1990). Compensatory articulation during speech: Evidence from the analysis and synthesis of vocal-tract shapes using an articulatory model. In W. J. Hardcastle & A. Marchal (Eds.), Speech Production and Speech Modelling (pp. 131–149). Dordrecht: Springer.
3.
Ziegler, W., & Von Cramon, D. (1985). Anticipatory coarticulation in a patient with apraxia of speech. Brain and Language, 26(1), 117–130.CrossRef
4.
Nicholas, M., Obler, L. K., Albert, M. L., & Helm-Estabrooks, N. (1985). Empty speech in Alzheimer’s disease and fluent aphasia. Journal of Speech, Language, and Hearing Research, 28(3), 405–410.CrossRef
5.
Cummings, J. L., Darkins, A., Mendez, M., Hill, M. A., & Benson, D. F. (1988). Alzheimer’s disease and Parkinson’s disease: Comparison of speech and language alterations. Neurology, 38(5), 680–680.CrossRef
6.
Mendez, M. F., Clark, D. G., Shapira, J. S., & Cummings, J. L. (2003). Speech and language in progressive nonfluent aphasia compared with early Alzheimer’s disease. Neurology, 61(8), 1108–1113.CrossRef
7.
Ahmed, S., Haigh, A. M. F., de Jager, C. A., & Garrard, P. (2013). Connected speech as a marker of disease progression in autopsy-proven Alzheimer’s disease. Brain, 136(12), 3727–3737.CrossRef
8.
Forbes, K. E., Venneri, A., & Shanks, M. F. (2002). Distinct patterns of spontaneous speech deterioration: An early predictor of Alzheimer’s disease. Brain and Cognition, 48(2–3), 356–361.
9.
Menn, L. (1983). Development of articulatory, phonetic, and phonological capabilities. Language Production, 2, 3–50.
10.
Harnad, S. (2003). Categorical perception. encyclopedia of cognitive science. Macmillan: Nature Publishing Group.
11.
12.
Ferrand, C. T. (2006). Speech science: An integrated approach to theory and clinical practice. Boston: Allyn & Bacon.
13.
Singh, R., Raj, B., & Vitanen, T. (2012). The basics of automatic speech recognition. Techniques for Noise Robustness in Automatic Speech Recognition (T. Virtanen, R. Singh & B. Raj (Eds.). New York: Wiley.
14.
Brand, M. (1999). Structure learning in conditional probability models via an entropic prior and parameter extinction. Neural Computation, 11(5), 1155–1182.CrossRef
15.
Dehak, N., Kenny, P. J., Dehak, R., Dumouchel, P., & Ouellet, P. (2011). Front-end factor analysis for speaker verification. IEEE Transactions on Audio, Speech, and Language Processing, 19(4), 788–798.CrossRef
16.
Loakes, D. (2006). A forensic phonetic investigation into the speech patterns of identical and non-identical twins, Doctoral dissertation, School of Languages. Australia: University of Melbourne.
17.
Snell, R. C., & Milinazzo, F. (1993). Formant location from LPC analysis data. IEEE Transactions on Speech and Audio Processing, 1(2), 129–134.CrossRef
18.
Mercer, J. (1935). “Popeye the Sailor Man.” Popeye—Original Motion Picture Soundtrack Album (Vinyl, LP, Album: Voice Art Rendition). USA: The Boardwalk Entertainment Co.
19.
Auzou, P., Ozsancak, C., Morris, R. J., Jan, M., Eustache, F., & Hannequin, D. (2000). Voice onset time in aphasia, apraxia of speech and dysarthria: A review. Clinical Linguistics and Phonetics, 14(2), 131–150.CrossRef
20.
Klatt, D. H. (1975). Voice onset time, frication, and aspiration in word-initial consonant clusters. Journal of Speech, Language, and Hearing Research, 18(4), 686–706.CrossRef
21.
Kent, R. D., & Rosenbek, J. C. (1983). Acoustic patterns of apraxia of speech. Journal of Speech, Language, and Hearing Research, 26(2), 231–249.CrossRef
22.
Sweeting, P. M., & Baken, R. J. (1982). Voice onset time in a normal-aged population. Journal of Speech, Language, and Hearing Research, 25(1), 129–134.CrossRef
23.
Morris, R. J., & Brown, W. S, Jr. (1994). Age-related differences in speech variability among women. Journal of Communication Disorders, 27(1), 49–64.CrossRef
24.
Tremblay, K. L., Piskosz, M., & Souza, P. (2003). Effects of age and age-related hearing loss on the neural representation of speech cues. Clinical Neurophysiology, 114(7), 1332–1343.CrossRef
25.
Flege, J. E. (1991). Age of learning affects the authenticity of voice-onset time (VOT) in stop consonants produced in a second language. The Journal of the Acoustical Society of America, 89(1), 395–411.CrossRef
26.
Stölten, K., Abrahamsson, N., & Hyltenstam, K. (2015). Effects of age and speaking rate on voice onset time: The production of voiceless stops by near-native L2 speakers. Studies in Second Language Acquisition, 37(1), 71–100.CrossRef
27.
Decoster, W., & Debruyne, F. (1997). The ageing voice: Changes in fundamental frequency, waveform stability and spectrum. Acta Oto-Rhino-Laryngologica Belgica, 51(2), 105–112.
28.
Fischer, E., & Goberman, A. M. (2010). Voice onset time in Parkinson disease. Journal of Communication Disorders, 43(1), 21–34.CrossRef
29.
Ackermann, H., & Hertrich, I. (1997). Voice onset time in ataxic dysarthria. Brain and Language, 56(3), 321–333.CrossRef
30.
Flint, A. J., Black, S. E., Campbell-Taylor, I., Gailey, G. F., & Levinton, C. (1992). Acoustic analysis in the differentiation of Parkinson’s disease and major depression. Journal of Psycholinguistic Research, 21(5), 383–399.CrossRef
31.
Heald, S., & Nusbaum, H. C. (2014). Speech perception as an active cognitive process. Frontiers in Systems Neuroscience, 8, 35.CrossRef
32.
Hashimoto, Y., & Sakai, K. L. (2003). Brain activations during conscious self-monitoring of speech production with delayed auditory feedback: An fMRI study. Human Brain Mapping, 20(1), 22–28.CrossRef
33.
McGettigan, C. (2015). The social life of voices: Studying the neural bases for the expression and perception of the self and others during spoken communication. Frontiers in Human Neuroscience, 9, 129.CrossRef
34.
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences, 98(2), 676–682.CrossRef
35.
Singh, R., Gencaga, D., & Raj, B. (2016). Formant manipulations in voice disguise by mimicry. In Proceedings of the Fourth International Workshop on Biometrics and Forensics (IWBF) (pp. 1–6). Limassol, Cyprus: IEEE.
36.
Klatt, D. H., & Klatt, L. C. (1990). Analysis, synthesis, and perception of voice quality variations among female and male talkers. The Journal of the Acoustical Society of America, 87(2), 820–857.
37.
Kreiman, J., Garellek, M., Chen, G., Alwan, A., & Gerratt, B. R. (2015). Perceptual evaluation of voice source models. The Journal of the Acoustical Society of America, 138(1), 1–10.CrossRef
38.
Henderson, A., Goldman-Eisler, F., & Skarbek, A. (1965). Temporal patterns of cognitive activity and breath control in speech. Language and Speech, 8(4), 236–242.CrossRef
39.
Allen, J. S., Miller, J. L., & DeSteno, D. (2003). Individual talker differences in voice-onset-time. The Journal of the Acoustical Society of America, 113(1), 544–552.CrossRef
40.
Sonderegger, M., & Keshet, J. (2012). Automatic measurement of voice onset time using discriminative structured prediction. The Journal of the Acoustical Society of America, 132(6), 3965–3979.CrossRef
41.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., et al. (2014). Generative adversarial nets. In Advances in Neural Information Processing Systems 27 (NIPS 2014) (pp. 2672–2680).
42.
Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein generative adversarial networks. In Proceedings of the Thirty-Fourth International Conference on Machine Learning (ICML) (pp. 214–223). Australia: Sydney.
43.
Neyshabur, B., Bhojanapalli, S. & Chakrabarti, A. (2017). Stabilizing GAN training with multiple random projections. arXiv:​1705.​07831.
44.
Pan, S. J., & Yang, Q. (2010). A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345–1359.CrossRef
45.
Dai, W., Jin, O., Xue, G. R., Yang, Q., & Yu, Y. (2009). Eigentransfer: A unified framework for transfer learning. In Proceedings of the Twenty-sixth Annual International Conference on Machine Learning (ICML) (pp. 193–200). Montreal, Canada: ACM.
Metadaten
Titel
Feature Engineering for Profiling
verfasst von
Rita Singh
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
Profiling Humans from their Voice

Print ISBN: 978-981-13-8402-8

Electronic ISBN: 978-981-13-8403-5

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-13-8403-5_7

Neuer Inhalt

    Bildnachweise