An approach to speech-sound enhancement is proposed based on the spectral subtraction. 提出了一种基于谱减法(SS)的语音增强算法。
Method of speech enhancement based on recursive averaging and spectral subtraction 利用递归平均和谱减技术的语音增强方法
The main idea of the spectral subtraction algorithm is noise detection and spectral subtraction rule. 谱相减语音增强算法的核心是噪声检测和谱减规则。
Missing Feature Reconstruction with Spectral Subtraction(SS) for Robust Speaker Identification 结合谱减和缺失特征重建的鲁棒性话者识别
In this paper, we propose a new approach based on spectral entropy and spectral subtraction for noisy speech endpoint detection, and discriminative rules with robustness. 本文提出了基于谱熵和谱减法(SS)相结合的带噪语音端点检测改进算法以及端点检测的判决准则。