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The Modeling Method for Non-intrusive Objective Speech Quality Measurement Based on Cloud Theory

机译:基于云理论的非侵入性目标语音测量模型方法

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Objective speech quality assessment is a important research in speech processing recently, but there are so many disadvantages in assessment based on input-output. A novel modeling method for non-intrusive objective speech quality measurement based on cloud theory is proposed in this paper. The mothod for rule-maker constructed and feature extracted is proposed. The speech quality for subjective quality speech database is measured. The correlation between subjective system and objective system is analyzed. The Experimental results show that the method is an effective technique to increase nicety and decrease complexity for speech quality assessment.
机译:客观语音质量评估是最近演讲处理的重要研究,但基于输入输出的评估有很多缺点。本文提出了一种基于云理论的非侵入式客观语音测量的新型建模方法。提出了构造和提取特征的规则制造商Mothod。测量主观质量语音数据库的语音质量。分析了主观系统与客观系统的相关性。实验结果表明,该方法是一种有效的技术,以增加精体,降低语音质量评估的复杂性。

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