Robust signal/noise discrimination for wideband speech and audio coding

M. Jelinek, F. Labonte
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引用次数: 4

Abstract

We present a robust discrimination method to separate information carrying signals from ambient noise for wideband coding applications. The method consists of a two-stage procedure. First, a local decision is made based on a set of extracted parameters to update the estimated noise level. The parameters have been chosen to reliably detect speech as well as music signals. Then, the final decision is made based only on a frequency dependent signal to noise ratio (SNR). The noise level update does not depend on the final decision to prevent the discriminator from locking when noise level changes suddenly. The performance is compared with the performance of the voice activity detector (VAD) of G.729, Annex G.
鲁棒的信号/噪声识别宽带语音和音频编码
针对宽带编码应用,提出了一种从环境噪声中分离携带信息信号的鲁棒识别方法。该方法包括两个步骤。首先,根据提取的一组参数进行局部决策,以更新估计的噪声水平。所选择的参数可以可靠地检测语音和音乐信号。然后,仅根据频率相关的信噪比(SNR)做出最终决定。噪声级更新不依赖于最终决定,以防止在噪声级突然变化时锁定鉴别器。将其性能与附件G.729的语音活动检测器(VAD)的性能进行了比较。
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