基于高阶统计方法改进的自适应多速率话音激活检测算法
An improved adaptive multi-rate voice activity detection algorithm based on high order statistics method
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摘要: 该文提出了基于高阶统计方法改进的自适应多速率话音激活检测算法,该算法可应用于第三代移动通信系统。实验证明:这种算法可以有效检测实际移动通信环境中高斯或非高斯对称分布的背景噪声。
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关键词:
- 高阶统计; 话音检测; 自适应多速率
Abstract: An improved voice activity detection algorithm based on high order statistics is proposed. The algorithm can be applied in the 3rd generation mobile communication system. The simulation shows that Gaussian or non-Gaussian symmetric distributed noises in mobile background environment can be detected accurately and suppressed by the new algorithm. -
张贤达,时间序列分析高阶统计量方法[M],北京,清华大学出版社,1996,7-10.[2]易克初,语音信号处理[M],北京,国防工业出版社,2000.6,56-58.[3]M. Rangoussi, Adaptive detection of noisy speech using third-order-statistics [A], International Journal of Adaptive Control and Signal Processing, 1996, 10(2), 113-136.[4]ITU-T P. 800, Methods for subjective determination of transmission quality, 1996.[5]3GPP TS 26.094 V4.O0, AMR speech codec: voice activity detection, 2001.3.[6]NTT-AT Cop., Multi-Lingual Speech Database for Telephonometry 1996, Japan.[7]NTT-AT Cop., Ambient Noise Database for Telephonometry 1996, Japan.[8]ITU-T P.56, Objective Measurement of Active Speech Level, 1993.3.[9]陈东,赵胜辉,匡镜明,一种用于3G系统中复杂背景噪声环境下的话音激活检测算法,通信学报,2001(4),45-50. -
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