Relevant bibliographies by topics / Speech audiometry

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Speech audiometry'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 February 2023

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Journal articles on the topic "Speech audiometry"

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Lieberth, Ann K., and Douglas R. Martin. "The Instructional Effectiveness of a Web-Based Audiometry Simulator." Journal of the American Academy of Audiology 16, no. 02 (February 2005): 079–84. http://dx.doi.org/10.3766/jaaa.16.2.3.

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With distance learning becoming more of a reality than a novelty in many undergraduate and graduate training programs, web-based clinical simulations can be identified as an instructional option in distance education that has both a sound pedagogical foundation and clinical relevance. The purpose of this article is to report on the instructional effectiveness of a web-based pure-tone audiometry simulator by undergraduate and graduate students in speech-language pathology. Graduate and undergraduate majors in communication sciences and disorders practiced giving basic hearing tests on either a virtual web-based audiometer or a portable audiometer. Competencies in basic testing skills were evaluated for each group. Results of our analyses of the data indicate that both undergraduate and graduate students learned basic audiometric testing skills using the virtual audiometer. These skills were generalized to basic audiometric testing skills required of a speech language pathologist using a portable audiometer.
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Calandruccio, Lauren, and Daniel Weidman. "Online Simulation Education for Audiometry Training." American Journal of Audiology 31, no. 1 (March 3, 2022): 1–10. http://dx.doi.org/10.1044/2021_aja-21-00121.

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Purpose: The purpose of this clinical focus article was to describe a new online simulation program for pure-tone audiometry. Method: Fictional but realistic patient profiles and testing environments were created to teach students about hearing screening protocols and pure-tone audiology. The diversity of the demographics of the United States is represented throughout the program. The web app was created using HTML/JS/CSS with a Flask server backend and MySQL database. Results: The program allows students to learn the process of conducting a hearing screening and measuring audiometric thresholds using a web-based virtual clinical audiometer. The virtual audiometer includes standard audiometer features and allows for instruction based on standard guidelines. The diversity of the patients within the simulation program allows for discussions of diversity to be woven throughout the curriculum. Conclusions: The new simulation program is designed for use as a clinical training tool enabling undergraduate and graduate students to actively participate in hearing screening testing and pure-tone audiometry using any web browser. The program is also designed with the intent to improve pedagogical outcomes at the undergraduate and graduate level for communication sciences and disorders education for pure-tone audiometry by providing instructors with content that focuses on the diversity that is represented in the demographics of the United States.
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Yamashita, Koichi, and Toshimasa Matsuhira. "Speech Audiometry." AUDIOLOGY JAPAN 51, no. 3 (2008): 167–76. http://dx.doi.org/10.4295/audiology.51.167.

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Hosoi, Hiroshi. "Speech audiometry." AUDIOLOGY JAPAN 52, no. 6 (2009): 563–70. http://dx.doi.org/10.4295/audiology.52.563.

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Lee, Jong Dam. "Speech Audiometry." Journal of Clinical Otolaryngology Head and Neck Surgery 7, no. 2 (November 1996): 232–41. http://dx.doi.org/10.35420/jcohns.1996.7.2.232.

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Hamid, Mohamed A., and Kenneth H. Brookler. "Speech Audiometry." Ear, Nose & Throat Journal 85, no. 12 (December 2006): 810–12. http://dx.doi.org/10.1177/014556130608501207.

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Penrod, John P. "Speech Audiometry." Ear and Hearing 9, no. 6 (December 1988): 355–56. http://dx.doi.org/10.1097/00003446-198812000-00017.

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Alviandi, Widayat, Jenny Bashiruddin, Brastho Bramantyo, and Farisa Rizky. "Words in noise audiometry in adult subjects with normal hearing." Oto Rhino Laryngologica Indonesiana 50, no. 1 (July 1, 2020): 9. http://dx.doi.org/10.32637/orli.v50i1.332.

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Background: Patients with hearing disturbance will generally undergo pure tone audiometry andspeech audiometry in a quiet room, but those examinations cannot evaluate the ability to understand speech in daily environment with a noisy background. Words in noise test will provide valuable informationregarding patient’s hearing problem in noise. Purpose: To evaluate the hearing threshold using wordsin noise test in adults with normal hearing. Method: This cross-sectional study was conducted in CiptoMangunkusumo Hospital from January to April 2017. All subjects who fulfilled the inclusion and exclusioncriteria underwent pure tone audiometry, speech audiometry, and words in noise test. Results: A total of71 individuals with normal hearing were recruited for this study. Words in noise test showed the medianvalue of 67 dB and 100 dB for Speech Recognition Threshold (SRT) 50% and Speech DiscriminationScore (SDS) 100%, respectively. The SRT 50% and SDS 100% were significantly higher in the age group40–60 years compared to the age group 18–39 years. There was also a statistically significant differencebetween males and females at SRT 50% assessed by words in noise audiometry. Conclusion: Wordsin noise test showed a statistically significant difference in SRT 50% and SDS 100% between two agegroups, but no difference was found between genders. The result of this study can be used as a referencefor SRT and SDS values of speech audiometry test in noise.Keywords: words in noise, speech audiometry, speech recognition threshold, speech discrimination score ABSTRAKLatar belakang: Pasien dengan gangguan pendengaran umumnya menjalani pemeriksaanaudiometri nada murni dan audiometri tutur di ruangan yang sunyi, tetapi pemeriksaan ini tidakdapat menggambarkan kemampuan pemahaman wicara di lingkungan sehari-hari yang ramai. Testutur dalam bising dapat mengevaluasi masalah pendengaran pasien dalam keadaan bising. Tujuan:Untuk mengevaluasi ambang pendengaran menggunakan tes tutur dalam bising pada orang dewasadengan pendengaran normal. Metode: Penelitian potong lintang ini dilakukan di Rumah Sakit CiptoMangunkusumo dari Januari hingga April 2017. Semua subjek yang memenuhi kriteria inklusi daneksklusi menjalani pemeriksaan audiometri nada murni, audiometri tutur, dan tes tutur dalam bising.Hasil: Sebanyak 71 orang dengan pendengaran normal diikutsertakan dalam penelitian ini. Tes tuturdalam bising menunjukkan nilai median masing-masing 67 dB dan 100 dB pada Speech RecognitionThreshold (SRT) 50% dan Speech Discrimination Score (SDS) 100%. SRT 50% dan SDS 100% secarasignifikan lebih tinggi pada kelompok usia 40–60 tahun dibandingkan dengan kelompok usia 18–39 tahun. Hasil pemeriksaan tes tutur dalam bising menunjukkan perbedaan yang signifikan antara laki-laki dan wanita pada nilai SRT 50%. Kesimpulan: Tes tutur dalam bising menunjukkan perbedaan yang bermakna secara statistik pada SRT 50% dan SDS 100% antara dua kelompok umur, tetapi tidak ada perbedaan signifikan diantara jenis kelamin. Hasil penelitian ini dapat digunakan sebagai acuan untuk nilai SRT dan SDS pada pemeriksaan audiometri tutur dalam bising.
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Bickley, Corine, and Gerald Kidd. "Synthetic speech audiometry." Journal of the Acoustical Society of America 86, S1 (November 1989): S49. http://dx.doi.org/10.1121/1.2027530.

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MIYATA, Koji, Kazuhiko SHOJI, Hisayoshi KOJIMA, Koichi OMORI, Shigeru HIRANO, and Shogo SHINOHARA. "Interactive Speech Audiometry." Practica Oto-Rhino-Laryngologica 91, no. 4 (1998): 337–40. http://dx.doi.org/10.5631/jibirin.91.337.

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Dissertations / Theses on the topic "Speech audiometry"

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Øygarden, Jon. "Norwegian Speech Audiometry." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for språk- og kommunikasjonsstudier, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-5409.

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A new set of speech audiometry for Norwegian - called "HiST taleaudiometri" - has been developed by the author of this thesis ("HiST" being short for the Norwegian name of Sør-Trøndelag University College and "taleaudiometri" being Norwegian for speech audiometry). The speech audiometry set consists of five-word sentences, three-word utterances, monosyllabic words, monosyllabic words for testing children and numrals. The process of developing the speech audiometry set is presented in this thesis. The five-word sentences are of the form Name-verb-numeral-adjetive-noun. Hagerman developed this sentence type for Swedish speech audiometry in the 1980s, but for Norwegian the sentences were developed using a new diphone-splitting method. For each word category ten alternatives exist, makings it possible to generate a number of lists with the same phonemic content but with different sentences. A noise was developed from the speech material. This is intended for use together with the speech for the purpose of speech recognition threshold in noise measurements. The material is very suitible for performing repeated measurements on the same person, which is often a requisite for hearing aid evaluation or psychoacoustical testing. The three-word utterances are of the form numeral-adjective-noun. The words are identical with the last three words used in the five-word sentences. The three-word utterances are intended for speech recognition threshold measurement. The noise developed for five-word sentences can be used together with the three-word utterances for speech recogniton threshold in noise measurements. Monosyllabic word lists were developed mainly for the purpose of measuring maximum speech recogniton score or the performance-intensity function. The recorded lists earmarked for testing children were developed by Rikshospitalet University Hospital in Oslo. The numrals used in the "HiST taleaudiometri" set are the numerals that were recorded by Sverre Quist-Hanssen for his speech audiometry. The numerals are organized in groups of three ( digit triplets).
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James, Christopher John. "The application of computers to speech audiometry." Thesis, University of Surrey, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304868.

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Hart, Lauren Alexandra. "Development of Thai Speech Audiometry Materials for Measuring Speech Recognition Thresholds." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2546.pdf.

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Al, Matar Waseem. "Speech Audiometry: Arabic Word Recognition Test for Adults." Kent State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=kent1627046045659542.

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Stadler, Svante. "Probabilistic Modelling of Hearing : Speech Recognition and Optimal Audiometry." Licentiate thesis, Stockholm : Skolan för elektro- och systemteknik, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10386.

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Mak, Cheuk-yan Charin. "Effects of speech and noise on Cantonese speech intelligibility." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37989790.

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Mak, Cheuk-yan Charin, and 麥芍欣. "Effects of speech and noise on Cantonese speech intelligibility." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37989790.

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Mangum, Tanya Crawford. "Performance Intensity Functions for Digitally Recorded Japanese Speech Audiometry Materials." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd838.pdf.

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Alisaputri, Marina. "Development of bisyllabic speech audiometry word lists for adult Malay speakers." Thesis, De Montfort University, 2016. http://hdl.handle.net/2086/16343.

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Standardised speech audiometry material is essential in assessing hearing for speech; however, material in Malay language, particularly for speech reception threshold test, is limited and not thoroughly validated. This thesis examines the development of standardised, phonemically-balanced bisyllabic Malay speech reception threshold (SRT) test word lists for Malay-speaking adults. The effect of having a mixture of familiar and nonsense words on speech recognition is also explored. The processes of developing the word lists include selecting and compiling the words using content analysis research method, testing for homogeneity and consistency and validating the acoustic content, both using correlational research method, and assessing the clinical validity using concurrent validity method. The familiar words were selected from a corpus of familiar words extracted from daily newspapers while the nonsense words were formed based on linguistic properties of Malay. The preliminary set consisted of fifteen lists with 10 familiar words and 5 nonsense words in each. The analyses of the findings show consistency of speech discrimination using the word lists using Friedman test to have statistically no significant difference in correct scores achieved using any of the word lists, Χ2 = 19.584, p>0.05. Homogeneity test for all lists using Cronbach’s alpha showed a value of 0.78, indicating a strong agreement and good homogeneity among the lists. When five lists with inter-item correlation ≤0.8 were excluded from the homogeneity analysis, the alpha value for the remaining 10 lists increased to 0.88. Consistency analysis of acoustic content using repeated measures ANOVA showed no significant difference between the list and the LTASS, F=1.229, p>0.05. All 15 lists were then tested for clinical validity. Two versions of list content were assessed, an all-words version (AWL) containing all 15 words each list, and a meaningful-words only version (MWL) containing 10 meaningful words for each list. Correlation analyses between half peak level (HPL) of the speech recognition curve and pure tone (PT) thresholds showed that, in consideration of both normal hearing and hearing impaired listeners, the HPL correlated best with PT average of 250, 500, 1000, 2000 and 4000 Hz for both AWL (r = 0.67 to 0.95) and MWL (r = 0.65 to 0.95). A comparison between HPL and PT average of 250, 500, 1000, 2000 and 4000 Hz showed mean differences of 4 dB (SD = 3) and 3 dB (SD = 4) with the range of tolerance (95% confidence) of ±7 dB and ±8 dB for AWL and MWL respectively. Sensitivity, specificity, and positive and negative predictive values, when set at tolerance level of ±10 dB, were mostly >0.90 for normal hearing and hearing loss listeners using either versions. It was concluded that the addition of nonsense words does not significantly affect SRT. The correlation between the SRT obtained using the bisyllabic Malay word lists and the PT thresholds suggested that the word lists were robust enough to be used in assessing speech hearing clinically. In conclusion, the current study has achieved to develop and produce a standardised, phonemically balanced bisyllabic Malay speech audiometry (BMSA) word lists for assessing speech reception threshold and discrimination in adult Malay speakers.
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Taylor, Brandon Brian. "Development of Psychometrically Equivalent Speech Audiometry Materials for Measuring Speech Recognition Thresholds in Native Tagalog Speakers." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3348.

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In addition to the use of pure-tones for testing hearing, speech signals are highly valuable diagnostic tools for identifying and evaluating hearing impairment. Speech audiometry involves the implementation of such signals in the measurement of hearing acuity. One aspect of speech audiometry involves assessment of the speech recognition threshold (SRT) which evaluates an individual's ability to hear and understand speech. While live speech has been used in the past to assess SRT, recorded materials are preferred and have been shown to be advantageous over live speech. High-quality digitally recorded speech audiometry materials have been available in English for some time, but assessment of individuals using speech materials from a language that they do not speak natively has been shown to be both inadequate and inaccurate. Speech audiometry materials have recently become available in many languages. Currently, however, there are no known published recordings for assessment of SRT in the Tagalog language. The goal of this study was to develop psychometrically equivalent speech audiometry materials for measuring speech recognition threshold in Tagalog. During this study Tagalog words were initially recorded by a native speaker selected for accent and vocal quality. The words were reduced down to 90 words to be evaluated in the study. Each of the 90 trisyllabic words were evaluated at 2 dB increments from -10 to 16 dB HL by 20 native Tagalog speakers, all having normal hearing. Based on the results, 34 trisyllabic Tagalog words were selected based on their familiarity to native listeners, relative homogeneity with regards to audibility and psychometric function slope. Each word was then adjusted to make the 50% performance threshold equal to the mean PTA of the 20 research participants (4.3 dB HL). The final edited words were then digitally recorded onto compact disc for distribution and for use in assessing SRT in native Tagalog speakers worldwide.
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Books on the topic "Speech audiometry"

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1933-, Martin Michael, ed. Speech audiometry. London: Whurr, 1990.

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OBE, Martin Michael, ed. Speech audiometry. London: Taylor & Francis, 1987.

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OBE, Martin Michael, ed. Speech audiometry. 2nd ed. San Diego, Calif: Singular Pub. Group, 1997.

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OBE, Martin Michael, ed. Speech audiometry. London: Whurr Publishers, 1990.

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Macrae, J. H. A procedure for determining percentage loss of hearing of clients with abnormally poor speech discrimination. Sydney: National Acoustic Laboratories, 1991.

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An independent evaluation of the earplug as a treatment for speech comprehension difficulties in selected children. Edmonton, Ab: Alberta Education, 1991.

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Introduction to instrumentation in speech and hearing. Baltimore: Williams & Wilkins, 1988.

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Goldstein, Robert. Evoked potential audiometry: Fundamentals and applications. Boston: Allyn and Bacon, 1999.

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Rousey, Clyde L. Tracking emotional states. Topeka, Kan: Cutting Edge, 2005.

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Ainsworth, W. A., Steven Greenberg, and Richard R. Fay. Speech processing in the auditory system. New York: Springer, 2011.

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Book chapters on the topic "Speech audiometry"

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Živanović, Aleksandar, Vlado Delić, Siniša Suzić, Ivana Sokolovac, and Maja Marković. "Re-evaluation of Words Used in Speech Audiometry." In Speech and Computer, 569–77. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26061-3_58.

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"SPEECH AUDIOMETRY." In Key Topics in Otolaryngology, 317–19. CRC Press, 2000. http://dx.doi.org/10.3109/9780203450413-91.

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"8 Speech Audiometry." In Essentials of Audiology, edited by Stanley A. Gelfand and Lauren Calandruccio. 5th ed. New York: Thieme Publishers New York, 2023. http://dx.doi.org/10.1055/b-0042-191969.

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"102 Speech Audiometry." In Key Topics in Otolaryngology, edited by Nick Roland, Duncan McRae, and Andrew W. McCombe. Stuttgart: Georg Thieme Verlag, 2019. http://dx.doi.org/10.1055/b-0039-166808.

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Zhao, Fei, and Robert Mayr. "Pure Tone Audiometry and Speech Audiometry." In Manual of Clinical Phonetics, 444–60. Routledge, 2021. http://dx.doi.org/10.4324/9780429320903-31.

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Mills, Mara. "Testing Hearing with Speech." In Testing Hearing, 23–48. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197511121.003.0002.

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If to measure is to “assign numerals to events,” queried audiologist Ira Hirsh in 1952, “what are the observable events in hearing?” In the newly professionalized field of audiometry, the test material for a typical audiogram—a set of individual tones—lent itself to precise electronic control, but it did not reflect everyday hearing situations and capacities. This chapter examines the use of speech to test hearing, from preliminary clinical applications of phonograph recordings in the late nineteenth century, to mass “screenings” with electrical recording and playback machines in the 1930s, to postwar diagnostic tests in which speech itself—from nonsense syllables to spondees to sentences—was forged into an objective measuring tool. The chapter argues that the quantification of “hearing loss for speech” derives from articulation testing in the field of telephone engineering. More specifically, the molding of speech sounds into yardsticks of “useful hearing” arose in the historical context of quality control, as did the notion that human hearing should be “screened” and inspected in industrial fashion.
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Conference papers on the topic "Speech audiometry"

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Hallak, B., S. Kaulitz, W. Schehata-Dieler, R. Hagen, and M. Cebulla. "Direct-Drive-Pure-Tone-Audiometry and Direct-Drive-Speech-Audiometry." In Abstract- und Posterband – 89. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Forschung heute – Zukunft morgen. Georg Thieme Verlag KG, 2018. http://dx.doi.org/10.1055/s-0038-1640339.

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Ondas, Stanislav, Daniel Hladek, Matus Pleva, Jozef Juhar, Eva Kiktova, Julius Zimmermann, and Maria Oravcova. "Towards robot-assisted children speech audiometry." In 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2019. http://dx.doi.org/10.1109/coginfocom47531.2019.9089983.

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Zivanovic, Aleksander, Sinisa Suzic, Ivana Sokolovac, and Vlado Delic. "Analysis of Errors in Speech Audiometry." In 2018 26th Telecommunications Forum (TELFOR). IEEE, 2018. http://dx.doi.org/10.1109/telfor.2018.8612168.

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Vaerenberg, Bart, Louis ten Bosch, Wojtek Kowalczyk, Martine Coene, Herwig De Smet, and Paul J. Govaerts. "Language-universal speech audiometry with automated scoring." In Interspeech 2013. ISCA: ISCA, 2013. http://dx.doi.org/10.21437/interspeech.2013-317.

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Craveiro, A., and U. Hoppe. "Side Difference in Pure Tone and Speech Audiometry." In 100 JAHRE DGHNO-KHC: WO KOMMEN WIR HER? WO STEHEN WIR? WO GEHEN WIR HIN? Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1728467.

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Hosoi, Hiroshi, Yoshiaki Tsuta, Takashi Nishida, Kiyotaka Murata, Fumihiko Ohta, Tsuyoshi Mekata, and Yumiko Kato. "Hearing aid evaluation using variable - speech - rate audiometry." In 3rd International Conference on Spoken Language Processing (ICSLP 1994). ISCA: ISCA, 1994. http://dx.doi.org/10.21437/icslp.1994-501.

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Ooster, Jasper, Pia Nancy Porysek Moreta, Jörg-Hendrik Bach, Inga Holube, and Bernd T. Meyer. "“Computer, Test My Hearing”: Accurate Speech Audiometry with Smart Speakers." In Interspeech 2019. ISCA: ISCA, 2019. http://dx.doi.org/10.21437/interspeech.2019-2118.

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Hammer, Annemiek, Bart Vaerenberg, Wojtek Kowalczyk, Louis ten Bosch, Martine Coene, and Paul J. Govaerts. "Balancing word lists in speech audiometry through large spoken language corpora." In Interspeech 2013. ISCA: ISCA, 2013. http://dx.doi.org/10.21437/interspeech.2013-318.

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Decker, Andrea, Katharina Schmidt, and Karsten Plotz. "Determination of speech-based hearing thresholds - correlations of hearing loss for speech and the pure tone audiometry." In Abstract- und Posterband – 91. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Welche Qualität macht den Unterschied. © Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0040-1711220.

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Munthuli, A., P. Sirimujalin, C. Tantibundhit, C. Onsuwan, N. Klangpornkun, and K. Kosawat. "Constructing time phonetically balanced word recognition test in speech audiometry through large written corpora." In 2014 17th Oriental Chapter of the International Committee for the Co-ordination and Standardization of Speech Databases and Assessment Techniques (COCOSDA). IEEE, 2014. http://dx.doi.org/10.1109/icsda.2014.7051418.

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