Sonova AG, Stäfa, Switzerland.
Signal Processing and Speech Communication Laboratory, Graz University of Technology, Graz, Austria.
JASA Express Lett. 2024 Sep 1;4(9). doi: 10.1121/10.0028397.
Music is an important signal class for hearing aids, and musical genre is often used as a descriptor for stimulus selection. However, little research has systematically investigated the acoustical properties of musical genres with respect to hearing aid amplification. Here, extracts from a combination of two comprehensive music databases were acoustically analyzed. Considerable overlap in acoustic descriptor space between genres emerged. By simulating hearing aid processing, it was shown that effects of amplification regarding dynamic range compression and spectral weighting differed across musical genres, underlining the critical role of systematic stimulus selection for research on music and hearing aids.
音乐是助听器的重要信号类别，音乐类型通常用作刺激选择的描述符。然而，很少有研究系统地研究音乐类型的声学特性与助听器放大的关系。在这里，从两个综合音乐数据库的组合中提取了样本进行了声学分析。在不同的音乐类型之间出现了相当大的声学描述符空间重叠。通过模拟助听器处理，表明在动态范围压缩和频谱加权方面，放大效果因音乐类型而异，突出了系统刺激选择对于音乐和助听器研究的关键作用。
