使用8千赫和16千赫采样信号的speech - dat - car Aurora西班牙数据库进行识别实验

C. Nadeu, M. Tolos
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引用次数: 3

摘要

和其他的speech - dat - car数据库一样,西班牙语数据库使用16千赫的采样频率,以及几个麦克风位置和环境噪声来收集数据。我们的目的是澄清处理16 khz采样信号而不是通常的8 khz采样信号在识别性能方面是否有任何优势。识别测试已经在极光实验框架内进行,其中包括来自近距离通话麦克风和远距离麦克风的信号。我们的初步结果表明,在嘈杂的汽车环境中,带宽的增加可能会提高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition experiments with the SpeechDat-Car Aurora Spanish database using 8 kHz- and 16 kHz-sampled signals
Like the other SpeechDat-Car databases, the Spanish one has been collected using a 16 kHz sampling frequency, and several microphone positions and environmental noises. We aim at clarifying whether there is any advantage in terms of recognition performance from processing the 16 kHz-sampled signals instead of the usual 8 kHz-sampled ones. Recognition tests have been carried out within the Aurora experimental framework, which includes signals from both a close-talking microphone and a distant microphone. Our preliminary results indicate that it is possible to get a performance improvement from the increased bandwidth in the noisy car environment.
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