Development and validation of a French speech-in-noise self-test using synthetic voice in an adult population
BackgroundSpeech-in-noise (SIN) audiometry is a valuable part of audiological diagnostics and clinical measurements, providing information on an individual's ability to understand in noise. To date, such tests have been developed with natural voice presented monaurally or binaurally (via diotic...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-01-01
|
| Series: | Frontiers in Audiology and Otology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fauot.2024.1292949/full |
| _version_ | 1797346119677640704 |
|---|---|
| author | Arnaud Génin Arnaud Génin Arnaud Génin Jérôme Courtial Jérôme Courtial Jérôme Courtial Maxime Balcon Jean-Luc Puel Jean-Luc Puel Frédéric Venail Frédéric Venail Frédéric Venail Jean-Charles Ceccato Jean-Charles Ceccato |
| author_facet | Arnaud Génin Arnaud Génin Arnaud Génin Jérôme Courtial Jérôme Courtial Jérôme Courtial Maxime Balcon Jean-Luc Puel Jean-Luc Puel Frédéric Venail Frédéric Venail Frédéric Venail Jean-Charles Ceccato Jean-Charles Ceccato |
| author_sort | Arnaud Génin |
| collection | DOAJ |
| description | BackgroundSpeech-in-noise (SIN) audiometry is a valuable part of audiological diagnostics and clinical measurements, providing information on an individual's ability to understand in noise. To date, such tests have been developed with natural voice presented monaurally or binaurally (via diotic and dichotic presentation). The time required to develop such tests is often long. The use of synthetic voice would simplify the test creation process and self-testing would improve accessibility.DesignMeasurements were performed using an Android tablet (Samsung Galaxy Tab A7) and calibrated Bluetooth headphones (Tilde Pro C, Orosound). Normative values were first defined using natural or synthetic voice on 69 normal-hearing participants. A total of 463 participants then undertook the SIN test comprising synthetic voice and dichotic antiphasic presentation. Of these, 399 also performed the SIN test with diotic presentation.ResultsNo significant differences in the speech reception threshold (SRT) were found between natural and synthetic voices for diotic presentations (p = 0.824, paired Student t-test) with normative values of −10.7 dB SNR (SD = 1.5 dB) and −10.4 dB SNR (SD = 1.4 dB), respectively. For the SoNoise test with synthetic voice and dichotic antiphasic presentation, the results showed a normative value of −17.5 dB SNR (SD = 1.5 dB), and a strong correlation (r = 0.797, p < 0.001) with the four-frequency pure-tone average (4f-PTA). Receiver operating curves (ROC) were then calculated: for a 4f-PTA of 20 dB hearing level (HL), the SRT was −14.5 dB SNR with a sensitivity of 84% and specificity of 89%. For a 4f-PTA of 30 dB HL, the SRT was −13.7 dB SNR with a sensitivity of 89% and specificity of 91%. For a 4f-PTA of 35 dB HL, the SRT was −13.0 dB SNR with a sensitivity of 88% and specificity of 93%. The normative binaural intelligibility level difference (BILD) value was 8.6 dB (SD = 2.0 dB) with normal-hearing participants. The learning effect due to the task and interface was 1.7 dB (1st to 7th test) and test duration was 3 min.ConclusionThe SoNoise test in its synthetic dichotic antiphasic presentation is a fast and reliable tool to diagnose hearing impairment at 20, 30, and 35 dB HL cut-offs. |
| first_indexed | 2024-03-08T11:28:21Z |
| format | Article |
| id | doaj.art-c8207c5a16434bd69a9a07107fcb9ee9 |
| institution | Directory Open Access Journal |
| issn | 2813-6055 |
| language | English |
| last_indexed | 2024-03-08T11:28:21Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Audiology and Otology |
| spelling | doaj.art-c8207c5a16434bd69a9a07107fcb9ee92024-01-26T04:48:39ZengFrontiers Media S.A.Frontiers in Audiology and Otology2813-60552024-01-01210.3389/fauot.2024.12929491292949Development and validation of a French speech-in-noise self-test using synthetic voice in an adult populationArnaud Génin0Arnaud Génin1Arnaud Génin2Jérôme Courtial3Jérôme Courtial4Jérôme Courtial5Maxime Balcon6Jean-Luc Puel7Jean-Luc Puel8Frédéric Venail9Frédéric Venail10Frédéric Venail11Jean-Charles Ceccato12Jean-Charles Ceccato13Département ORL&CMF- CHU, Université de Montpellier, Montpellier, FranceInstitut des Neurosciences de Montpellier, INSERM U1298, Montpellier, FranceSONUP, Montpellier, FranceDépartement ORL&CMF- CHU, Université de Montpellier, Montpellier, FranceInstitut des Neurosciences de Montpellier, INSERM U1298, Montpellier, FranceAudiocampus, Université de Montpellier, Montpellier, FranceSONUP, Montpellier, FranceInstitut des Neurosciences de Montpellier, INSERM U1298, Montpellier, FranceAudiocampus, Université de Montpellier, Montpellier, FranceDépartement ORL&CMF- CHU, Université de Montpellier, Montpellier, FranceInstitut des Neurosciences de Montpellier, INSERM U1298, Montpellier, FranceAudiocampus, Université de Montpellier, Montpellier, FranceInstitut des Neurosciences de Montpellier, INSERM U1298, Montpellier, FranceAudiocampus, Université de Montpellier, Montpellier, FranceBackgroundSpeech-in-noise (SIN) audiometry is a valuable part of audiological diagnostics and clinical measurements, providing information on an individual's ability to understand in noise. To date, such tests have been developed with natural voice presented monaurally or binaurally (via diotic and dichotic presentation). The time required to develop such tests is often long. The use of synthetic voice would simplify the test creation process and self-testing would improve accessibility.DesignMeasurements were performed using an Android tablet (Samsung Galaxy Tab A7) and calibrated Bluetooth headphones (Tilde Pro C, Orosound). Normative values were first defined using natural or synthetic voice on 69 normal-hearing participants. A total of 463 participants then undertook the SIN test comprising synthetic voice and dichotic antiphasic presentation. Of these, 399 also performed the SIN test with diotic presentation.ResultsNo significant differences in the speech reception threshold (SRT) were found between natural and synthetic voices for diotic presentations (p = 0.824, paired Student t-test) with normative values of −10.7 dB SNR (SD = 1.5 dB) and −10.4 dB SNR (SD = 1.4 dB), respectively. For the SoNoise test with synthetic voice and dichotic antiphasic presentation, the results showed a normative value of −17.5 dB SNR (SD = 1.5 dB), and a strong correlation (r = 0.797, p < 0.001) with the four-frequency pure-tone average (4f-PTA). Receiver operating curves (ROC) were then calculated: for a 4f-PTA of 20 dB hearing level (HL), the SRT was −14.5 dB SNR with a sensitivity of 84% and specificity of 89%. For a 4f-PTA of 30 dB HL, the SRT was −13.7 dB SNR with a sensitivity of 89% and specificity of 91%. For a 4f-PTA of 35 dB HL, the SRT was −13.0 dB SNR with a sensitivity of 88% and specificity of 93%. The normative binaural intelligibility level difference (BILD) value was 8.6 dB (SD = 2.0 dB) with normal-hearing participants. The learning effect due to the task and interface was 1.7 dB (1st to 7th test) and test duration was 3 min.ConclusionThe SoNoise test in its synthetic dichotic antiphasic presentation is a fast and reliable tool to diagnose hearing impairment at 20, 30, and 35 dB HL cut-offs.https://www.frontiersin.org/articles/10.3389/fauot.2024.1292949/fullhearing diagnosisspeech-in-noise testnatural and synthetic voicesdichotic antiphasictablet based |
| spellingShingle | Arnaud Génin Arnaud Génin Arnaud Génin Jérôme Courtial Jérôme Courtial Jérôme Courtial Maxime Balcon Jean-Luc Puel Jean-Luc Puel Frédéric Venail Frédéric Venail Frédéric Venail Jean-Charles Ceccato Jean-Charles Ceccato Development and validation of a French speech-in-noise self-test using synthetic voice in an adult population Frontiers in Audiology and Otology hearing diagnosis speech-in-noise test natural and synthetic voices dichotic antiphasic tablet based |
| title | Development and validation of a French speech-in-noise self-test using synthetic voice in an adult population |
| title_full | Development and validation of a French speech-in-noise self-test using synthetic voice in an adult population |
| title_fullStr | Development and validation of a French speech-in-noise self-test using synthetic voice in an adult population |
| title_full_unstemmed | Development and validation of a French speech-in-noise self-test using synthetic voice in an adult population |
| title_short | Development and validation of a French speech-in-noise self-test using synthetic voice in an adult population |
| title_sort | development and validation of a french speech in noise self test using synthetic voice in an adult population |
| topic | hearing diagnosis speech-in-noise test natural and synthetic voices dichotic antiphasic tablet based |
| url | https://www.frontiersin.org/articles/10.3389/fauot.2024.1292949/full |
| work_keys_str_mv | AT arnaudgenin developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT arnaudgenin developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT arnaudgenin developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT jeromecourtial developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT jeromecourtial developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT jeromecourtial developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT maximebalcon developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT jeanlucpuel developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT jeanlucpuel developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT fredericvenail developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT fredericvenail developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT fredericvenail developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT jeancharlesceccato developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation AT jeancharlesceccato developmentandvalidationofafrenchspeechinnoiseselftestusingsyntheticvoiceinanadultpopulation |