首页> 外文期刊>Applied Acoustics >Variable step-size subband backward BSS algorithms for speech quality enhancement
【24h】

Variable step-size subband backward BSS algorithms for speech quality enhancement

机译:可变步长子带后向BSS算法以提高语音质量

获取原文
获取原文并翻译 | 示例
           

摘要

This paper addresses the problem of the speech quality improvement using adaptive filtering algorithms. Recently in Djendi and Bendoumia (2014) , we have proposed a new two-channel backward algorithm for noise reduction and speech intelligibility enhancement. The main drawback of proposed two-channel subband algorithm is its poor performance when the number of subband is high. This inconvenience is well seen in the steady state regime values. The source of this problem is the fixed step-sizes of the cross-adaptive filtering algorithms that distort the speech signal when they are selected high and degrade the convergence speed behaviours when they are selected small. In this paper, we propose four modifications of this algorithm which allow improving both the convergence speed and the steady state values even in very noisy condition and a high number of subbands. To confirm the good performance of the four proposed variable-step-size SBBSS algorithms, we have carried out several simulations in various noisy environments. In these simulations, we have evaluated objective and subjective criteria as the system mismatch, the cepstral distance, the output signal-to-noise-ratio, and the mean opinion score (MOS) method to compare the four proposed variables step-size versions of the SBBSS algorithm with their original versions and with the two-channel fullband backward (2CFB) least mean square algorithm.
机译:本文解决了使用自适应滤波算法提高语音质量的问题。最近在Djendi和Bendoumia(2014)中,我们提出了一种新的两通道后向算法,用于降噪和增强语音清晰度。所提出的两通道子带算法的主要缺点是,当子带数量多时,其性能较差。这种不便之处在稳态状态值中很明显。这个问题的根源是交叉自适应滤波算法的固定步长,该算法在语音信号被选择为高电平时会失真,而语音信号被选择为较小时会降低收敛速度。在本文中,我们提出了对该算法的四个修改,即使在非常嘈杂的条件和大量子带的情况下,也可以提高收敛速度和稳态值。为了确认所提出的四种可变步长SBBSS算法的良好性能,我们在各种嘈杂的环境中进行了几次仿真。在这些仿真中,我们评估了客观和主观标准,例如系统失配,倒谱距离,输出信噪比和平均意见评分(MOS)方法,以比较四种建议的变量步长版本SBBSS算法及其原始版本和两通道全频带后向(2CFB)最小均方算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号