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Attention, Perception, & Psychophysics

, Volume 81, Issue 2, pp 558–570 | Cite as

Are there sex effects for speech intelligibility in American English? Examining the influence of talker, listener, and methodology

  • Sarah E. YohoEmail author
  • Stephanie A. Borrie
  • Tyson S. Barrett
  • Dane B. Whittaker
Article
  • 76 Downloads

Abstract

Talker and listener sex in speech processing has been largely unknown and under-appreciated to this point, with many studies overlooking the possible influences. In the current study, the effects of both talker and listener sex on speech intelligibility were assessed. Different methodological approaches to measuring intelligibility (percent words correct vs. subjective rating scales) and collecting data (laboratory vs. crowdsourcing) were also evaluated. Findings revealed that, regardless of methodology, the spoken productions of female talkers were overall more intelligible than the spoken productions of male talkers; however, substantial variability across talkers was observed. Findings also revealed that when data were collected in the lab, there was an interaction between talker and listener sex. This interaction between listener and talker sex was not observed when subjective ratings were crowdsourced from listener subjects across the USA via Amazon Mechanical Turk, although overall ratings remained similar. This possibly suggests that subjective intelligibility ratings may be vulnerable to bias, and such biases may be reduced by recruiting a more heterogeneous subject pool. Many studies in speech perception do not account for these talker, listener, and methodology effects. However, the present results suggest that researchers should carefully consider these effects when assessing speech intelligibility in different conditions, and when comparing findings across studies that have used different subject demographics and/or methodologies.

Keywords

Hearing Speech perception 

Notes

Acknowledgments

This paper was written with partial support from the National Institute of Deafness and Other Communication Disorders, National Institutes of Health Grant No. R21 DC 016084 (awarded to S.A.B.). We gratefully acknowledge our research assistants Nicole Thiede and Monica Muncy for data analysis and manuscript preparation assistance.

References

  1. Allmark, P. (2004). Should research samples reflect the diversity of the population? Journal of Medical Ethics, 30, 185–189.Google Scholar
  2. American National Standard Institute (1997). ANSI S3.5 (R2007). American National Standard Methods for the Calculation of the Speech Intelligibility Index (American National Standards Inst., New York).Google Scholar
  3. American Speech-Language-Hearing Association. (1997). Guidelines for audiologic screening.Google Scholar
  4. Bacon, S. P. (1990). Effect of masker level on overshoot. The Journal of the Acoustical Society of America, 88(2), 698-702.Google Scholar
  5. Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3).Google Scholar
  6. Beaman, L. G. (2001). Molly mormons, mormon feminists and moderates: Religious diversity and the latter day saints church. Sociology of Religion, 62(1), 65-86.Google Scholar
  7. Bleecker, M. L., Bolla-Wilson, K., Agnew, J., & Meyers, D. A. (1988). Age-related sex differences in verbal memory. Journal of Clinical Psychology, 44(3), 403-411.Google Scholar
  8. Boersma, P., & Weenink, D. (2017). Praat: doing phonetics by computer [Computer program]. Version 6.0. 36.Google Scholar
  9. Borrie, S. A., Baese-Berk, M., Van Engen, K., & Bent, T. (2017). A relationship between processing speech in noise and dysarthric speech. The Journal of the Acoustical Society of America, 141(6), 4660-4667.Google Scholar
  10. Borrie, S.A. and Schäfer, M.C.M. (2017). Effects of lexical and somatosensory feedback on long-term improvements in intelligibility of dysarthric speech. Journal of Speech, Language, and Hearing Research, 60, 2151-2158.Google Scholar
  11. Bradlow, A. R., Blasingame, M., & Lee, K. (2018). Language-independent talker-specificity in bilingual speech intelligibility: Individual traits persist across first-language and second-language speech. Laboratory Phonology: Journal of the Association for Laboratory Phonology, 9(1).Google Scholar
  12. Bradlow, A. R., Torretta, G. M., & Pisoni, D. B. (1996). Intelligibility of normal speech I: Global and fine-grained acoustic-phonetic talker characteristics. Speech Communication, 20(3-4), 255-272.Google Scholar
  13. Brown B.L. (1980). Effects of speech rate on personality attributions and competency evaluations. In: Giles, H., Robinson, W. P., Smith, P. (Eds.) Language: Social psychological perspectives (pp. 293–300).Google Scholar
  14. Bunton, K., Kent, R. D., Kent, J. F., & Duffy, J. R. (2001). The effects of flattening fundamental frequency contours on sentence intelligibility in speakers with dysarthria. Clinical Linguistics & Phonetics, 15(3), 181-193.Google Scholar
  15. Byrd, D. (1994). Relations of sex and dialect to reduction. Speech Communication, 15(1-2), 39-54.Google Scholar
  16. Coleman, R. O. (1971). Male and female voice quality and its relationship to vowel formant frequencies. Journal of Speech, Language, and Hearing Research, 14(3), 565-577.Google Scholar
  17. Cooke, M. (2006). A glimpsing model of speech perception in noise. The Journal of the Acoustical Society of America, 119(3), 1562-1573.Google Scholar
  18. Dehan, C. P., & Jerger, J. (1990). Analysis of gender differences in the auditory brainstem response. The Laryngoscope, 100(1), 18-24.Google Scholar
  19. Don, M., Ponton, C. W., Eggermont, J. J., & Masuda, A. (1993). Gender differences in cochlear response time: An explanation for gender amplitude differences in the unmasked auditory brain-stem response. The Journal of the Acoustical Society of America, 94(4), 2135-2148.Google Scholar
  20. Ellis, L., Fucci, D., Reynolds, L., & Benjamin, B. (1996). Effects of gender on listeners’ judgments of speech intelligibility. Perceptual and Motor Skills, 83(3), 771-775.Google Scholar
  21. Ferguson, S. (2004). Talker differences in clear and conversational speech: Vowel intelligibility for normal-hearing listeners. The Journal of the Acoustical Society of America, 116(4), 2365-2373.Google Scholar
  22. Ferguson, S. H., & Morgan, S. D. (2018). Talker differences in clear and conversational speech: Perceived sentence clarity for young adults with normal hearing and older adults with hearing loss. Journal of Speech, Language, and Hearing Research, 61(1), 159-173.Google Scholar
  23. Fogerty, D. (2011). Perceptual weighting of individual and concurrent cues for sentence intelligibility: Frequency, envelope, and fine structure. The Journal of the Acoustical Society of America, 129(2), 977-988.Google Scholar
  24. Garofolo, J. S. (1988). DARPA TIMIT acoustic-phonetic speech database. National Institute of Standards and Technology (NIST), 15, 29-50.Google Scholar
  25. Gengel, R. W., & Kupperman, G. L. (1980). Word discrimination in noise: Effect of different speakers. Ear and Hearing, 1(3), 156-160.Google Scholar
  26. Goy, H., Fernandes, D. N., Pichora-Fuller, M. K., & van Lieshout, P. (2013). Normative voice data for younger and older adults. Journal of Voice, 27(5), 545-555.Google Scholar
  27. Hazan, V., & Markham, D. (2004). Acoustic-phonetic correlates of talker intelligibility for adults and children. The Journal of the Acoustical Society of America, 116(5), 3108-3118.Google Scholar
  28. Healy, E. W., Yoho, S. E., & Apoux, F. (2013). Band importance for sentences and words reexamined. The Journal of the Acoustical Society of America, 133(1), 463-473.Google Scholar
  29. Hirsh, I. J., Davis, H., Silverman, S. R., Reynolds, E. G., Eldert, E., and Benson, R. W. (1952). Development of materials for speech audiometry. Journal of Speech and Hearing Disorders, 17, 321–337.Google Scholar
  30. Hodges-Simeon, C. R., Gaulin, S. J., & Puts, D. A. (2010). Different vocal parameters predict perceptions of dominance and attractiveness. Human Nature, 21(4), 406-427.Google Scholar
  31. IEEE (1969). IEEE recommended practice for speech quality measurements. IEEE Transactions on Audio and Electroacoustics, 17, 225–246Google Scholar
  32. Klasner, E. R., & Yorkston, K. M. (2005). Speech intelligibility in ALS and HD dysarthria: The everyday listener’s perspective. Journal of Medical Speech-Language Pathology, 13(2), 127-140.Google Scholar
  33. Kwon, H. B. (2010). Gender difference in speech intelligibility using speech intelligibility tests and acoustic analyses. The Journal of Advanced Prosthodontics, 2(3), 71-76.Google Scholar
  34. Lansford, K. L., Borrie, S. A., & Bystricky, L. (2016). Use of crowdsourcing to assess the ecological validity of perceptual-training paradigms in dysarthria. American Journal of Speech-Language Pathology, 25(2), 233-239.Google Scholar
  35. Lass, N. J., Hughes, K. R., Bowyer, M. D., Waters, L. T., & Bourne, V. T. (1976). Speaker sex identification from voiced, whispered, and filtered isolated vowels. The Journal of the Acoustical Society of America, 59(3), 675-678.Google Scholar
  36. Laures, J. S., & Weismer, G. (1999). The effects of a flattened fundamental frequency on intelligibility at the sentence level. Journal of Speech, Language, and Hearing Research, 42(5), 1148-1156.Google Scholar
  37. Markham, D., & Hazan, V. (2004). The effect of talker-and listener-related factors on intelligibility for a real-word, open-set perception test. Journal of Speech, Language, and Hearing Research, 47(4), 725-737.Google Scholar
  38. McAllister Byun, T., Halpin, P. F., & Szeredi, D. (2015). Online crowdsourcing for efficient rating of speech: A validation study. Journal of Communication Disorders, 53, 70–83.Google Scholar
  39. McCloy, D. R., Wright, R. A., & Souza, P. E. (2015). Talker versus dialect effects on speech intelligibility: A symmetrical study. Language and Speech, 58(3), 371-386.Google Scholar
  40. McFadden, D. (1998). Sex differences in the auditory system. Developmental Neuropsychology, 14(2-3), 261-298.Google Scholar
  41. McFadden, D., Pasanen, E. G., Maloney, M. M., Leshikar, E. M., & Pho, M. H. (2018). Differences in common psychoacoustical tasks by sex, menstrual cycle, and race. The Journal of the Acoustical Society of America, 143(4), 2338-2354.Google Scholar
  42. McRoberts, G. W., & Sanders, B. (1992). Sex differences in performance and hemispheric organization for a nonverbal auditory task. Perception & Psychophysics, 51(2), 118-122.Google Scholar
  43. Miller, S. E., Schlauch, R. S., & Watson, P. J. (2010). The effects of fundamental frequency contour manipulations on speech intelligibility in background noise. The Journal of the Acoustical Society of America, 128(1), 435-443.Google Scholar
  44. National Institutes of Health. (2017). NIH guidelines on the inclusion of women and minorities as subjects in clinical research. NIH Grants Policy October, 2017; AII-33. Available at https://grants.nih.gov/grants/policy/nihgps/nihgps.pdf. Accessed 17 June 2018.
  45. Parker, M. A. & Borrie, S. A. (2018). Judgements of intelligibility and likeability of young adult female speakers of American English: The influence of vocal fry and the surrounding acoustic-prosodic context. Journal of Voice, 32, 538-545.Google Scholar
  46. Rademacher, J., Morosan, P., Schleicher, A., Freund, H. J., & Zilles, K. (2001). Human primary auditory cortex in women and men. Neuroreport, 12(8), 1561-1565.Google Scholar
  47. Re, D. E., O’Connor, J. J., Bennett, P. J., & Feinberg, D. R. (2012). Preferences for very low and very high voice pitch in humans. PLoS One, 7(3), e32719.  https://doi.org/10.1371/journal.pone.0032719 Google Scholar
  48. Rogers, D. S., Harkrider, A. W., Burchfield, S. B., & Nabelek, A. K. (2003). The influence of listener‘s gender on the acceptance of background noise. Journal of the American Academy of Audiology, 14(7), 372-382.Google Scholar
  49. Schwartz, M. F. (1968). Identification of speaker sex from isolated, voiceless fricatives. The Journal of the Acoustical Society of America, 43(5), 1178-1179.Google Scholar
  50. Shannon, R. V., Zeng, F. G., Kamath, V., Wygonski, J., & Ekelid, M. (1995). Speech recognition with primarily temporal cues. Science, 270(5234), 303-304.Google Scholar
  51. Simpson, A. P. (2009). Phonetic differences between male and female speech. Language and Linguistics Compass, 3(2), 621-640.Google Scholar
  52. Slote, J., and Strand, J. F. (2016). Conducting spoken word recognition research online: Validation and a new timing method. Behavior Research Methods, 48, 553-566.Google Scholar
  53. Smith, B. L., Brown, B. L., Strong, W. J., & Rencher, A. C. (1975). Effects of speech rate on personality perception. Language and speech, 18(2), 145-152.Google Scholar
  54. Sumerau, J. E., & Cragun, R. T. (2014). The hallmarks of righteous women: Gendered background expectations in the Church of Jesus Christ of Latter-Day Saints. Sociology of Religion, 76(1), 49-71.Google Scholar
  55. Titze, I. R. (1989). Physiologic and acoustic differences between male and female voices. The Journal of the Acoustical Society of America, 85, 1699–1707.Google Scholar
  56. Utah State University (2015). Interfaith diversity experiences & attitudes longitudinal survey. Retrived from https://interfaith.usu.edu/files/Utah%20State%20University.pdf
  57. Utah State University Office of Analysis, Assessment and Accreditation. (2018). Utah State University Fall 2017 Enrollment Analysis. Retrieved from http://www.usu.edu/aaa/enroll_infographic.cfm
  58. Van Engen, K. J., & Bradlow, A. R. (2007). Sentence recognition in native-and foreign-language multi-talker background noise. The Journal of the Acoustical Society of America, 121(1), 519-526.Google Scholar
  59. Wang, M. D., & Bilger, R. C. (1973). Consonant confusions in noise: A study of perceptual features. The Journal of the Acoustical Society of America, 54(5), 1248-1266.Google Scholar
  60. Yoho, S. E., & Borrie, S. A. (2018). Combining degradations: The effect of background noise on intelligibility of disordered speech. The Journal of the Acoustical Society of America, 143(1), 281-286.Google Scholar
  61. Yoho, S. E., Healy, E. W., Youngdahl, C. L., Barrett, T. S., & Apoux, F. (2018). Speech-material and talker effects in speech band importance. The Journal of the Acoustical Society of America, 143(3), 1417-1426.Google Scholar
  62. Yorkston, K. M., & Beukelman, D. R. (1978). A comparison of techniques for measuring intelligibility of dysarthric speech. Journal of Communication Disorders, 11(6), 499-512.Google Scholar

Copyright information

© The Psychonomic Society, Inc. 2018

Authors and Affiliations

  1. 1.Department of Communicative Disorders and Deaf EducationUtah State UniversityLoganUSA
  2. 2.Department of Kinesiology and Health SciencesUtah State UniversityLoganUSA

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