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

机译:基于云理论的非介入式客观语音质量测量建模方法

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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:客观的语音质量评估是近年来语音处理中的一项重要研究,但是基于输入输出的评估存在很多弊端。提出了一种新的基于云理论的非介入式客观语音质量测量建模方法。提出了一种用于规则制定者的方法,并提出了特征提取方法。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之间的相关性。实验结果表明,该方法是提高语音质量评估的美观度和降低复杂度的有效方法。

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