Milani Ali A, Kannan Govind, Panahi Issa M S, Briggs Richard
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6946-9. doi: 10.1109/IEMBS.2009.5333748.
Multichannel speech enhancement has been shown to be an effective method to decrease speech distortion introduced during speech enhancement, especially in environments like MRI (magnetic resonance imaging) which have a distributed noise source. However, these methods suffer from high computational complexity which makes them almost impractical. The use of subband filtering has been suggested to reduce this complexity but the performance of the existing subband methods deteriorate as the number of subbands increases. In this paper we introduce a new multichannel speech enhancement algorithm based on subband adaptive filtering that works for higher number of subbands at a lower complexity. The real-world experiments demonstrate the performance of the new scheme in an MRI room.
多通道语音增强已被证明是一种有效的方法，可减少语音增强过程中引入的语音失真，尤其是在像磁共振成像（MRI）这样具有分布式噪声源的环境中。然而，这些方法存在计算复杂度高的问题，这使得它们几乎不实用。有人建议使用子带滤波来降低这种复杂度，但现有的子带方法的性能会随着子带数量的增加而变差。在本文中，我们介绍了一种基于子带自适应滤波的新的多通道语音增强算法，该算法在较低复杂度下适用于更多数量的子带。实际实验证明了该新方案在MRI室中的性能。
