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A nested superdirective generalized sidelobe canceller for speech enhancement

机译:一个嵌套的超导通用旁观旁观式旁观者消除术用于语音增强

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This paper deals with the problem of microphone array speech enhancement using a hybrid Generalized Sidelobe Canceller (GSC) and Super-Directive Beamformer (SDB). While GSC is one of the most practical architectures for reducing the directional noises, SDB is a superior choice in the case of diffuse noise fields. In this research, we have combined these two structures to improve the performance of speech enhancement system in realistic noisy conditions. Furthermore, we have employed a Linear Constrained Minimum Variance (LCMV) beamformer instead of blocking matrix (in GSC) to generalize the good performance of the system for different arrival directions of desired speech. Finally, we have proposed nested sub-array implementation of the hybrid system to take advantages of the subband processing of wideband speech signal. Our experiments show the effectiveness of the proposed modifications in different input SNR values. The comparative evaluations demonstrate the superiority of the proposed system in noise reduction from speech in real-life conditions (where diffuse, incoherent, and directional noises are present, simultaneously).
机译:本文涉及使用混合通用Sidelobe消除器(GSC)和超级指令波束形成器(SDB)的麦克风阵列语音增强问题。虽然GSC是用于降低定向噪声的最实用的架构之一,但SDB是漫射噪声场的情况下的优越选择。在这项研究中,我们组合了这两个结构,提高了逼真嘈杂条件下语音增强系统的性能。此外,我们已经采用了线性约束的最小方差(LCMV)波束形成器,而不是阻塞矩阵(在GSC中)以推广系统的良好性能,以针对所需语音的不同到达方向呈现系统的良好性能。最后,我们已经提出了嵌套的混合系统的子阵列实现,以利用宽带语音信号的子带处理的优点。我们的实验表明了在不同输入SNR值中提出的修改的有效性。比较评估表明,在现实条件下的语音中提出的噪声减少的优势(在那里同时存在漫反射,不连贯和定向噪声)。

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