Detection of accents, phrase boundaries and sentence modality in German with prosodic features
Detection of accents, phrase boundaries and sentence modality in German with prosodic features
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通过韵律特征检测德语的重音、短语边界和句子情态
DOI：
10.21437/eurospeech.1995-261
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
V. Strom
中科院分区：
文献类型：
--
作者：
V. Strom
在本文中，描述了用于口音、短语边界和句子情态的检测器，其仅从语音信号及其基本频率获得韵律特征，以在早期分析阶段或在没有单词假设的情况下支持语音理解系统的其他模块。提出了一种新的基频内插和分解方法。检测器的潜在高斯分布分类器在大约50分钟的自发语音中进行了训练和测试，得到了78%的重音识别率，80%的短语边界识别率和85%的句子情态识别率。
In this paper detectors for accents, phrase boundaries, and sentence modality are described which derive prosodic features only from the speech signal and its fundamental frequency to support other modules of a speech understanding system in an early analysis stage, or in cases where no word hypotheses are available. A new method for interpolating and decomposing the fundamental frequency is suggested. The detectors' underlying Gaussian distribution classifiers were trained and tested with approximately 50 minutes of spontaneous speech, yielding recognition rates of 78 percent for accents, 80 percent for phrase boundaries, and 85 percent for sentence modality.