Effects of Talker Variability on Speech Recognition of Normal-Hearing Listeners for Korean Speech Audiometry

2010 ◽  
Vol 6 (1) ◽  
pp. 19-24
Author(s):  
In-Ki Jin ◽  
Jae-Hee Lee
Keyword(s):  
Speech Recognition ◽  
Normal Hearing ◽  
Speech Audiometry ◽  
Talker Variability

scholarly journals Words in noise audiometry in adult subjects with normal hearing

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.

scholarly journals Speech Audiometry at Home: Automated Listening Tests via Smart Speakers With Normal-Hearing and Hearing-Impaired Listeners

2020 ◽  
Vol 24 ◽  
pp. 233121652097001
Author(s):  
Jasper Ooster ◽  
Melanie Krueger ◽  
Jörg-Hendrik Bach ◽  
Kirsten C. Wagener ◽  
Birger Kollmeier ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Standard Deviation ◽  
Signal To Noise Ratio ◽  
Area Under The Curve ◽  
Measurement Procedure ◽  
Normal Hearing ◽  
Hearing Impaired ◽  
Speech Audiometry ◽  
Room Acoustics ◽  
Important Diagnostic Tool

Speech audiometry in noise based on sentence tests is an important diagnostic tool to assess listeners’ speech recognition threshold (SRT), i.e., the signal-to-noise ratio corresponding to 50% intelligibility. The clinical standard measurement procedure requires a professional experimenter to record and evaluate the response (expert-conducted speech audiometry). The use of automatic speech recognition enables self-conducted measurements with an easy-to-use speech-based interface. This article compares self-conducted SRT measurements using smart speakers with expert-conducted laboratory measurements. With smart speakers, there is no control over the absolute presentation level, potential errors from the automated response logging, and room acoustics. We investigate the differences between highly controlled measurements in the laboratory and smart speaker-based tests for young normal-hearing (NH) listeners as well as for elderly NH, mildly and moderately hearing-impaired listeners in low, medium, and highly reverberant room acoustics. For the smart speaker setup, we observe an overall bias in the SRT result that depends on the hearing loss. The bias ranges from +0.7 dB for elderly moderately hearing-impaired listeners to +2.2 dB for young NH listeners. The intrasubject standard deviation is close to the clinical standard deviation (0.57/0.69 dB for the young/elderly NH compared with 0.5 dB observed for clinical tests and 0.93/1.09 dB for the mild/moderate hearing-impaired listeners compared with 0.9 dB). For detecting a clinically elevated SRT, the speech-based test achieves an area under the curve value of 0.95 and therefore seems promising for complementing clinical measurements.

Speech recognition of normal‐hearing and hearing‐impaired listeners in amplitude‐modulated noise

1994 ◽  
Vol 95 (5) ◽  
pp. 2992-2993
Author(s):  
Laurie S. Eisenberg ◽  
Donald D. Dirks ◽  
Theodore S. Bell
Keyword(s):  
Speech Recognition ◽  
Normal Hearing ◽  
Hearing Impaired

scholarly journals Speech Recognition in Noise for Adults With Normal Hearing

2018 ◽  
Vol 39 (10) ◽  
pp. e972-e978 ◽  
Author(s):  
Jourdan T. Holder ◽  
Laura M. Levin ◽  
René H. Gifford
Keyword(s):  
Speech Recognition ◽  
Normal Hearing ◽  
Speech Recognition In Noise

scholarly journals Tinnitus impairs segregation of competing speech in normal-hearing listeners

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yang Wenyi Liu ◽  
Bing Wang ◽  
Bing Chen ◽  
John J. Galvin ◽  
Qian-Jie Fu
Keyword(s):  
Sex Differences ◽  
Speech Recognition ◽  
Auditory Processing ◽  
Normal Hearing ◽  
Central Auditory Processing ◽  
Informational Masking ◽  
Spatial Cues ◽  
Processing Resources ◽  
Lexical Interference ◽  
Competing Speech

AbstractMany tinnitus patients report difficulties understanding speech in noise or competing talkers, despite having “normal” hearing in terms of audiometric thresholds. The interference caused by tinnitus is more likely central in origin. Release from informational masking (more central in origin) produced by competing speech may further illuminate central interference due to tinnitus. In the present study, masked speech understanding was measured in normal hearing listeners with or without tinnitus. Speech recognition thresholds were measured for target speech in the presence of multi-talker babble or competing speech. For competing speech, speech recognition thresholds were measured for different cue conditions (i.e., with and without target-masker sex differences and/or with and without spatial cues). The present data suggest that tinnitus negatively affected masked speech recognition even in individuals with no measurable hearing loss. Tinnitus severity appeared to especially limit listeners’ ability to segregate competing speech using talker sex differences. The data suggest that increased informational masking via lexical interference may tax tinnitus patients’ central auditory processing resources.

Psychometric Functions for Shortened Administrations of a Speech Recognition Approach Using Tri-Word Presentations and Phonemic Scoring

2012 ◽  
Vol 55 (3) ◽  
pp. 879-891 ◽  
Author(s):  
Stanley A. Gelfand ◽  
Jessica T. Gelfand
Keyword(s):  
Speech Recognition ◽  
Young Adult ◽  
Word Recognition ◽  
Recognition Test ◽  
Normal Hearing ◽  
Original Study ◽  
Computer Assisted ◽  
Signal To Noise ◽  
Adult Participants

Method Complete psychometric functions for phoneme and word recognition scores at 8 signal-to-noise ratios from −15 dB to 20 dB were generated for the first 10, 20, and 25, as well as all 50, three-word presentations of the Tri-Word or Computer Assisted Speech Recognition Assessment (CASRA) Test (Gelfand, 1998) based on the results of 12 normal-hearing young adult participants from the original study. Results The psychometric functions for both phoneme and word scores were very similar and essentially overlapping for all set sizes. Performance on the shortened tests accounted for 98.8% to 99.5% of the full (50-set) test variance with phoneme scoring, and 95.8% to 99.2% of the full test variance with word scoring. Shortening the tests accounted for little if any of the variance in the slopes of the functions. Conclusions The psychometric functions for abbreviated versions of the Tri-Word speech recognition test using 10, 20, and 25 presentation sets were described and are comparable to those of the original 50-presentation approach for both phoneme and word scoring in healthy, normal-hearing, young adult participants.

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