King-Kopetzky综合征:一种解决方法

Wissam Nawfal, N. Al-Aawar, Bassam Moslem
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引用次数: 0

摘要

King-Kopetzky综合征(KKS)是一种临床公认的人类听力系统疾病。它被定义为一种情况,在纯音听力测量中,一个人的听力阈值正常,但在背景噪音存在的情况下,他抱怨自己无法或难以理解讲话。以下是KKS解决方案的建议方法,该解决方案由三个主要模块组成,首先是分离混合信号,然后识别每个语音信号的说话人,最后应用选择性方法选择预期的说话人。使用卷积盲源分离(CoBliSS)进行信号分离,而说话人识别依赖于Mel频率频谱相关作为特征,多层感知器(MLP)作为分类器。结果表明,所提出的技术可以作为解决KKS的一种可能的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
King-Kopetzky syndrome: An approach for a solution
King-Kopetzky syndrome (KKS) is recognized as a clinical disorder in the hearing system of a human being. It is defined as the condition in which an individual possess a normal hearing threshold on pure tone audiometry however complains about his inability or difficulty in understanding speech in the presence of background noise. In what follows is a proposed approach for a solution for KKS consisting of three main blocks starting by separating mixed signals, then identifying the speaker of each speech signal, and finally applying a selectivity method for selecting the intended speaker. Convolutive Blind Source Separation (CoBliSS) was used for signal separation while speaker identification depended on Mel Frequency Cepstral Correlations as features and Multilayer Perceptron (MLP) as a classifier. The results show that the proposed technique can be used as a possible solution for KKS.
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