【摘要】 针对短时谱幅度最小均方误差估计(MMSE-STSA)语音增强算法在非平稳噪声环境下噪声抑制能力较差的问题,提出一种改进的MMSE-STSA算法。该算法在响度域进行谱幅度估计,并采取基于概率的语音判决方法。实验结果表明,相比传统的MMSE-STSA算法,改进算法在非平稳噪声环境下能够获得更好的语音质量。更多还原

【Abstract】 Due to the poor performance of traditional Minimum Mean Square Error Short-Time Spectral Amplitude estimator(MMSE-STSA) algorithm in non-stationary noise environment,this paper proposes an improved MMSE-STSA speech enhancement algorithm,which is based on a loudness-domain MMSE estimator in the frequency domain,and uses a probability-based voice decision method.Simulation result indicates that it has better performance than traditional MMSE-STSA algorithm in non-stationary noise environment.更多还原