State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People's Republic of China.
J Acoust Soc Am. 2013 May;133(5):EL391-7. doi: 10.1121/1.4800191.
The identification of 12 English vowels was measured in quiet and in long-term speech-shaped noise (LTSSN) and multi-talker babble for English-native (EN) listeners and Chinese-native listeners in the U.S. (CNU) and China (CNC). The signal-to-noise ratio was manipulated from -15 to 0 dB. As expected, EN listeners performed significantly better in quiet and noisy conditions than CNU and CNC listeners. Vowel identification in LTSSN was similar between CNU and CNC listeners; however, performance in babble was significantly better for CNU listeners than for CNC listeners, indicating that exposing non-native listeners to native English may reduce informational masking of multi-talker babble.
12 个英语元音的识别在安静环境中和长期语音噪声（LTSSN）以及多说话人噪声中进行了测量，实验对象为美国的英语母语（EN）听众和中国的汉语母语（CN）听众。信噪比从-15 到 0 dB 进行了调整。正如预期的那样，EN 听众在安静和嘈杂环境中的表现明显好于 CNU 和 CNC 听众。CNU 和 CNC 听众在 LTSSN 中的元音识别相似；然而，CNU 听众在 babble 中的表现明显优于 CNC 听众，这表明让非母语听众接触英语母语可能会减少多说话人噪声的信息掩蔽。
