恶劣环境下音乐无噪语音增强的分治策略
A Divide and Conquer Strategy for Musical Noise-free Speech Enhancement in Adverse Environments
摘要：
本文提出了一种在低信噪比环境下对含噪语音进行增强的分而治之的策略，将整个语音增强系统分为两个独立的步骤。第一步是基于短时间幅度的噪声补偿，第二步是基于相位补偿。基于改进的谱减法对幅度谱进行补偿，该方法考虑了传统谱减法忽略的噪声谱和纯净语音谱的交叉项。通过采用修正的幅度和不变的相位，制定了一个程序来补偿高估或低估的噪声的相位补偿方法的基础上的语音存在的概率。在此基础上得到了一个修正的复谱，并用于合成一个无音乐噪声的增强语音。广泛的模拟进行使用的语音文件在NOIZEUS数据库中，以评估所提出的方法的性能。它示出的客观措施，频谱图分析和正式的主观听力测试，所提出的方法始终优于一些国家的最先进的语音增强的方法，在非常低的信噪比以及中等水平的街道或多路重合噪声损坏的嘈杂的语音。
英文摘要：
A divide and conquer strategy for enhancement of noisy speeches in adverse environments involving lower levels of SNR is presented in this paper, where the total system of speech enhancement is divided into two separate steps. The first step is based on noise compensation on short time magnitude and the second step is based on phase compensation. The magnitude spectrum is compensated based on a modified spectral subtraction method where the cross-terms containing spectra of noise and clean speech are taken into consideration, which are neglected in the traditional spectral subtraction methods. By employing the modified magnitude and unchanged phase, a procedure is formulated to compensate the overestimation or underestimation of noise by phase compensation method based on the probability of speech presence. A modified complex spectrum based on these two steps are obtained to synthesize a musical noise free enhanced speech. Extensive simulations are carried out using the speech files available in the NOIZEUS database in order to evaluate the performance of the proposed method. It is shown in terms of the objective measures, spectrogram analysis and formal subjective listening tests that the proposed method consistently outperforms some of the state-of-the-art methods of speech enhancement for noisy speech corrupted by street or babble noise at very low as well as medium levels of SNR.
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