Reliability of Speech Recognition Threshold Test Using the Korean Standard Bisyllabic Word List for Adults in Comparison with Conventional Hahm's List

Background: The present study aimed to develop word lists in Telugu for assessing speech recognition threshold which might serve as equivalent and alternative forms to the existing word lists. Methods: A total of two word lists were developed using compound words with each list consisting of 25 words. Equivalence analysis and performance-intensity function testing was carried out using two word lists on a total of 75 native speakers of Telugu who were equally divided into three groups. Results: The results revealed that there was no statistically significant difference (p>0.05) in the speech recognition performance between three groups for each word list, and between two word lists for each group. Hence, the two word lists developed were found to be equally difficult for all the groups and can be used interchangeably. The performance-intensity (PI) function curve showed semi-linear function, and the subjects reached the beginning of the plateau at 3 dBSL where they reached more than 90% speech recognition score for two word lists, and reached 100% speech recognition score at 6 dBSL. The 50% speech recognition score which corresponds to SRT was obtained at less than 1.5 dBSL for two word lists suggesting good agreement between PTA and SRT. Conclusions: The findings of the study are similar to the findings of existing word lists in Telugu. Thus the developed word lists in the present study can be considered equivalent and alternative forms to existing word lists in Telugu.

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Spanish Pediatric Speech Recognition Threshold Test

American Journal of Audiology ◽

10.1044/2019_aja-18-0132 ◽

2019 ◽

Vol 28 (3) ◽

pp. 597-604 ◽

Cited By ~ 1

Author(s):

Lisa Lucks Mendel ◽

Monique Pousson ◽

Johnnie K. Bass ◽

Rachel E. Lunsford ◽

Caleb McNiece

Keyword(s):

Speech Recognition ◽

Pure Tone ◽

Normative Data ◽

Test Construction ◽

Recognition Threshold ◽

Stimulus Selection ◽

Threshold Test ◽

Spanish Speaking ◽

Pure Tone Average ◽

Study Test

Purpose The purpose of this study was to construct a recorded speech recognition threshold (SRT) test for Spanish-speaking children utilizing a picture board and a picture-pointing task. Design The Spanish Pediatric Speech Recognition Threshold (SPSRT) test was developed and validated in this study. Test construction steps included (a) stimulus selection, (b) assessment of familiarity, (c) digital recording, (d) creation of pictures that accurately depicted the target word from the stimulus set, and (e) validation of the test and recordings. SRTs were obtained from 24 Spanish-speaking children whose 1st language was Spanish. Results Normative data are presented that validate the SPSRT and establish the baseline relationship between the pure-tone average and the SRT obtained with the SPSRT. Results indicated that the SPSRT obtained using this test should be within 2–12 dB of an individual's pure-tone average for Spanish-speaking children with normal hearing and minimal hearing loss. Conclusions The SPSRT was developed and validated as a picture-pointing Spanish SRT test to be used with Spanish-speaking children. The 2-channel recording contains an English translation track, making this test easy to administer and interpret for clinicians without knowledge of Spanish.

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Development of School Aged and Preschool Korean Bisyllabic Word Lists for Speech Recognition Threshold Test

Audiology and Speech Research ◽

10.21848/audiol.2008.4.1.37 ◽

2008 ◽

Vol 4 (1) ◽

pp. 37-47

Author(s):

SooJin Cho ◽

JungHak Lee ◽

Dukhwan Lim ◽

KyungWon Lee ◽

HeeKyung Han

Keyword(s):

Speech Recognition ◽

Recognition Threshold ◽

Threshold Test ◽

Word Lists

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Development Of Speech Material For An Armenian Speech Recognition Threshold Test

Russian Open Medical Journal ◽

10.15275/rusomj.2021.0321 ◽

2021 ◽

Vol 10 (3) ◽

Author(s):

Sona Sargsyan ◽

Torsten Rahne

Keyword(s):

Speech Recognition ◽

Test List ◽

Correlation Coefficients ◽

Recognition Threshold ◽

Speech Discrimination ◽

Speech Corpus ◽

Test Items ◽

Threshold Test ◽

Study Results ◽

Homogeneous Test

Introduction — For the Armenian language, no standardized audiometric speech perception test is available. The purpose of this research was to develop, digitally record and evaluate an Armenian multisyllabic speech audiometry test, which can be used to measure speech recognition thresholds in Armenian native speakers. Material and Methods — To create a homogeneous multisyllabic speech corpus, Armenian numerals from 10-100 with 2-4 syllables were selected as general sample and digitally recorded by a female native Armenian speaker. For equalizing the speech recognition threshold between the test items, the speech discrimination function for each numeral was subsequently evaluated by five normal hearing native Armenian listeners in an experimental study. Results — Based on the phonemic structure of the Armenian language, 20 phonemically homogeneous test lists were created. The phoneme distributions of each test list correlated significantly and positively with that of the general sample (all Pearson moment correlation coefficients >0.960; all ps <0.001). Comparison of the phoneme distributions of test lists to that of the Armenian language showed that the test lists represent the language corpus quite well. After adjusting for actual threshold levels, speech discrimination functions are comparable between all numerals used. Conclusion — The developed test lists are a phonetically homogenous representation of the Armenian language and serve as an appropriated base for future clinical measurements of speech recognition threshold in Armenian speaking listeners.

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Words in noise audiometry in adult subjects with normal hearing

Oto Rhino Laryngologica Indonesiana ◽

10.32637/orli.v50i1.332 ◽

2020 ◽

Vol 50 (1) ◽

pp. 9

Author(s):

Widayat Alviandi ◽

Jenny Bashiruddin ◽

Brastho Bramantyo ◽

Farisa Rizky

Keyword(s):

Speech Recognition ◽

Pure Tone ◽

Pure Tone Audiometry ◽

Normal Hearing ◽

Recognition Threshold ◽

Speech Audiometry ◽

Discrimination Score ◽

Speech Discrimination ◽

Speech Discrimination Score ◽

Noise Test

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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Factors Underlying Individual Differences in Speech-Recognition Threshold (SRT) in Noise Among Older Adults

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2021.702739 ◽

2021 ◽

Vol 13 ◽

Author(s):

Larry E. Humes

Keyword(s):

Older Adults ◽

Individual Differences ◽

Speech Recognition ◽

Detection Threshold ◽

Recognition Threshold ◽

Convenience Sample ◽

Adult Intelligence Scale ◽

Wechsler Adult Intelligence Scale ◽

Group Data ◽

Wechsler Adult Intelligence

Many older adults have difficulty understanding speech in noisy backgrounds. In this study, we examined peripheral auditory, higher-level auditory, and cognitive factors that may contribute to such difficulties. A convenience sample of 137 volunteer older adults, 90 women, and 47 men, ranging in age from 47 to 94 years (M = 69.2 and SD = 10.1 years) completed a large battery of tests. Auditory tests included measures of pure-tone threshold, clinical and psychophysical, as well as two measures of gap-detection threshold and four measures of temporal-order identification. The latter included two monaural and two dichotic listening conditions. In addition, cognition was assessed using the complete Wechsler Adult Intelligence Scale-3rd Edition (WAIS-III). Two monaural measures of speech-recognition threshold (SRT) in noise, the QuickSIN, and the WIN, were obtained from each ear at relatively high presentation levels of 93 or 103 dB SPL to minimize audibility concerns. Group data, both aggregate and by age decade, were evaluated initially to allow comparison to data in the literature. Next, following the application of principal-components factor analysis for data reduction, individual differences in speech-recognition-in-noise performance were examined using multiple-linear-regression analyses. Excellent fits were obtained, accounting for 60–77% of the total variance, with most accounted for by the audibility of the speech and noise stimuli and the severity of hearing loss with the balance primarily associated with cognitive function.

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Predicting Speech Recognition Thresholds from Pure Tone Hearing Thresholds

Perceptual and Motor Skills ◽

10.2466/pms.1994.79.2.1003 ◽

1994 ◽

Vol 79 (2) ◽

pp. 1003-1008 ◽

Cited By ~ 3

Author(s):

Stanley Coren ◽

A. Ralph Hakstian

Keyword(s):

Speech Recognition ◽

Pure Tone ◽

Recognition Threshold ◽

Simple Computation ◽

Average Correlation ◽

Hearing Sensitivity ◽

Hearing Status ◽

Hearing Thresholds

Hearing sensitivity is most commonly still reported in terms of pure tone thresholds. Unfortunately, simple procedures for predicting Speech Recognition Thresholds from Pure Tone Thresholds are not currently available. To remedy this problem, pure tone thresholds were collected from 802 individuals over the range of 250 to 8000 Hz. Five subsets of pure tone thresholds which are commonly used to report hearing status were then considered. An average correlation of 0.878 was found between the various pure tone indexes and the speech recognition threshold. Using regressions between pure tone and the speech measure, a table was constructed that allows conversion of the various pure tone indexes to a predicted speech recognition threshold and involves only a very simple computation.

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