标题： 在不同性别下在音素尺度上评估多通道语音增强算法 显示英文标题

标题： Evaluating Multichannel Speech Enhancement Algorithms at the Phoneme Scale Across Genders

摘要： 多通道语音增强算法对于在嘈杂环境中提高语音信号的可懂度至关重要。 这些算法通常在话语级别进行评估，但这种方法忽略了不同音素类别以及男性和女性说话者之间的声学特征差异。 本文研究了性别和语音内容对语音增强算法的影响。 我们通过概述与音素和性别相关的频谱特征来说明这种方法的动机。 我们的实验结果显示，虽然性别之间的话语级别差异很小，但在音素级别上出现了显著变化。 结果表明，测试的算法在女性语音上能更好地减少干扰并产生更少的伪影，尤其是在爆破音、摩擦音和元音方面。 此外，它们在感知和语音识别指标方面表现出更好的女性语音性能。 显示英文摘要

摘要： Multichannel speech enhancement algorithms are essential for improving the intelligibility of speech signals in noisy environments. These algorithms are usually evaluated at the utterance level, but this approach overlooks the disparities in acoustic characteristics that are observed in different phoneme categories and between male and female speakers. In this paper, we investigate the impact of gender and phonetic content on speech enhancement algorithms. We motivate this approach by outlining phoneme- and gender-specific spectral features. Our experiments reveal that while utterance-level differences between genders are minimal, significant variations emerge at the phoneme level. Results show that the tested algorithms better reduce interference with fewer artifacts on female speech, particularly in plosives, fricatives, and vowels. Additionally, they demonstrate greater performance for female speech in terms of perceptual and speech recognition metrics.