| 基于听感知特征的英语句子重音检测 |
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| 引用本文： | 李坤,刘加.基于听感知特征的英语句子重音检测[J].清华大学学报(自然科学版),2010(4). |
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| 作者姓名： | 李坤 刘加 |
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| 作者单位： | 清华大学电子工程系;清华信息科学与技术国家实验室; |
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| 基金项目： | 国家自然科学基金资助项目(60776800); 国家“八六三”高技术项目(2006AA010101,2007AA04Z223,2008AA02Z414) |
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| 摘 要： | 为了更有效地提取英语句子重音,提出了一种基于听感知特征的方法。根据音素特点,改进段长的归一化方法;根据听感知特性,引入半音程和响度特征,并以归一化的音节最高值代替其平均值,系统正确率达到78.7%,漏检率为9.37%。在此基础上,还提出了基于掩蔽效应的突显度模型,系统正确率提高到83.4%,漏检率下降到5.72%。实验表明,突显度模型更符合人的听感知,其性能接近人工标注的一致率(约为86%)。系统还具有文本无关和说话人无关的优点。
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| 关 键 词： | 语音信号处理 句子重音 听感知 突显度模型 段长 响度 半音程 |
English sentence accent detection based on auditory features |
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| LIKun,LIUJia.English sentence accent detection based on auditory features[J].Journal of Tsinghua University(Science and Technology),2010(4). |
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| Authors: | LIKun LIUJia |
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| Institution: | LI+Kun,LIU+Jia(Tsinghua+National+Laboratory+for+Information+Science+,+Technology,Department+of+Electronic+Engineering,Tsinghua+University,Beijing+100084,China) |
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| Abstract: | This paper presents a method to effectively detect the sentence accent using human auditory characteristics. The system improves the calculation of normalized duration according to the phoneme characteristics,and imports the syllable maximum normalized value of loudness and semitone,which matches the auditory. The correct rate reached 78.7%,with a deletion rate of 9.37%. The prominence model was developed based on the masking effect with the accuracy rate increasing to 83.4%,with a deletion rate of 5.72%. E... |
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| Keywords: | speech signal processing sentence accent auditory prominence model duration loudness semitone |
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