UFII MINI-SYMPOSIUM BIBLIOGRAPHY

American Roentgen Ray Society. “Voice Recognition Systems Seem To Make More Errors WIth Women’s Dictation.” ScienceDaily, 6 May 2007. www.sciencedaily.com/releases/2007/05/070504133050.htm

Davey, Melissa. “Outsmarting the Computer: The Secret to Passing Australia’s English-Proficiency Test” The Guardian, 9 Aug. 2017, https://www.theguardian.com/australia-news/2017/aug/10/outsmarting-the-computer-the-secret-to-passing-australias-english-proficiency-test.

Hunter, Lisa L., et al. “Extended High Frequency Hearing and Speech Perception Implications in Adults and Children.” Hearing Research, vol. 397, Elsevier, Nov. 2020, p. 107922, doi:10.1016/J.HEARES.2020.107922.

Jackson, Charles Lee. “Assessing the Efficiency of the Federal Radio Commission’s Regulation of Broadcasting.” SSRN Electronic Journal, Elsevier BV, Oct. 2017, doi:10.2139/SSRN.3054230.

Mix, Jennie Irene. “For And Against the Woman Radio Speaker.” Radio Broadcast, 1924, pp. 391–97. link to pdf

Monson, Brian B., et al. “The Perceptual Significance of High-Frequency Energy in the Human Voice.” Frontiers in Psychology, vol. 5, no. JUN, Frontiers Media S.A., 2014, p. 587, doi:10.3389/FPSYG.2014.00587/BIBTEX.

Null, Christopher. “Can Anti-Bias Efforts Help Women Get Their Voices Back?” Enterprise.Nxt, 14 Dec 2021, https://www.hpe.com/us/en/insights/articles/can-anti-bias-efforts-help-women-get-their-voices-back-2112.html

Steinberg, John C. “Understanding Women.” Bell Laboratories Record, vol. 3, no. 5, 1927, pp. 153–54. link to pdf

Tatman, Rachael. “Gender and Dialect Bias in YouTube’s Automatic Captions.” Proceedings of the First Workshop on Ethics in Natural Language Processing, 2017, pp. 53–59, https://github.com/rctatman/youtubeDialectAccuracy.

Wassink, Alicia Beckford, et al. “Uneven Success: Automatic Speech Recognition and Ethnicity-Related Dialects.” Speech Communication, vol. 140, Elsevier BV, Mar. 2022, pp. 50–70, doi:10.1016/J.SPECOM.2022.03.009.

Zadeh, Lina Motlagh, et al. “Extended High-Frequency Hearing Enhances Speech Perception in Noise.” Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 47, National Academy of Sciences, 2019, pp. 23753–59, doi:10.1073/PNAS.1903315116.