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Improving Consonant Identification in Noise and Reverberationby Steady-state Suppression as a Preprocessing Approach

机译:改善噪声和混响的辅音识别,稳态抑制作为预处理方法

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Noise (N), reverberation (R), and a combination of N and R (NR) differently degrade speech intelligibility. The current study aims to improve speech intelligibility in public spaces by processing speech signals through public address systems (a preprocessing approach). As a preprocessing approach, we proposed steady-state suppression, and it has improved consonant identification in R. The current study tests the effect of steady-state suppression in N, R, and NR at three signal to noise ratios and at reverberation time of 0.9 s. Results showed that steady-state suppression significantly improved consonant identification by 21 young people in NR and in R. Furthermore, steady-state suppression improved consonant identification more in NR than in R. The results indicate that steady-state suppression may be applicable to public spaces having N and R. The results also indicate that an integration of N and R improves the performance of a preprocessing approach in a certain range of N and R.
机译:噪声(n),混响(R)和N和R(NR)的组合不同地降低语音可懂度。目前的研究旨在通过通过公共地址系统(预处理方法)处理语音信号来改善公共空间中的语音可懂性。作为一种预处理方法,我们提出了稳态抑制,它在R中提高了辅音鉴定。目前的研究在三个信号中测试了N,R和NR的稳态抑制作用对噪音比率和混响时间0.9秒。结果表明,稳态抑制在NR和R中的21个年轻人中显着改善了辅音鉴定。此外,稳态抑制在NR中的辅音识别比R.结果表明,稳态抑制可能适用于公众具有N和R的空间还表明N和R的集成可提高预处理方法在一定范围内的预处理方法的性能。

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