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- W2886632330 abstract "Understanding speech in noise is a major challenge for most hearing-impaired subjects, with or without hearing aids. To overcome the weaknesses of French-language speech-in-noise tests, we developed a new instrument, with a balanced mix of difficulty of the speech material.The speech material comprised 127 sentences taken from the Marginal Benefit from Acoustic Amplification (MBAA) corpus, each including 3 keywords. The noise was created using the onde vocale globale (global vocal wave: OVG), described by Dodelé. The 127 speech/noise pairs were recorded individually after root-mean-square equalization. The first experiment, on 10 normal-hearing adults, determined the signal-to-noise ratio (SNR) associated with 50% correct keyword identification in each sentence (SNR-50), using an ascending method with noise level set at 73dB SPL. Relative levels between sentences and noise were then adjusted sentence by sentence to achieve an SNR-50 of 0dB. The second experiment, with 12 normal-hearing adults, validated the equalization of sentence difficulty.Mean SNR-50 was -6.64dB (σ=1.47). Mean adjusted SNR-50 was 0.08dB (σ=0.55). Mean psychometric curve slope was 19.3%/dB, with low standard deviations, testifying to the sensitivity of the speech material.The VRB (vocale rapide dans le bruit: rapid speech in noise) test is based on sentences from the MBAA corpus with background noise based on the OVG at different signal-to-noise ratios. The test is feasible and able to detect slight variations in speech-in-noise performance between subjects." @default.
- W2886632330 created "2018-08-22" @default.
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- W2886632330 date "2018-10-01" @default.
- W2886632330 modified "2023-10-14" @default.
- W2886632330 title "Speech audiometry in noise: Development of the French-language VRB (vocale rapide dans le bruit) test" @default.
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- W2886632330 doi "https://doi.org/10.1016/j.anorl.2018.07.002" @default.
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