Acoustic-phonetic features for the automatic classification of fricatives
Acoustic-phonetic features for the automatic classification of fricatives
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DOI：
10.1121/1.1357814
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发表时间：
2001-05-01
影响因子：
2.4
通讯作者：
Mueller, P
中科院分区：
文献类型：
--
作者：
Ali, AMA;Van der Spiegel, J;Mueller, P
本文从自动分类的角度研究了美式英语摩擦辅音的声学-语音特征。对文献中研究的特征进行了评价，并提出了新的特征。为了检验所提取特征的价值，提出了一种基于统计指导的、基于知识的声学-语音系统，用于独立于说话人的连续语音中摩擦音的自动分类。该系统采用了基于听觉的前端处理系统，并结合了新的算法来提取和处理语音特征，这些特征被证明具有丰富的信息内容。使用硬决策算法对从TIMIT数据库中提取的摩擦音进行分类实验，这些摩擦音来自7种不同的美国英语方言的60位说话者的连续语音（未用于设计/训练过程）。语音检测的准确率为93%，发音位置检测的准确率为91%，摩擦音整体分类的准确率为87%。(C) 2001美国声学学会。
In this article, the acoustic-phonetic characteristics of the American English fricative consonants are investigated from the automatic classification standpoint. The features studied in the literature are evaluated and new features are proposed. To test the value of the extracted features, a statistically guided, knowledge-based, acoustic-phonetic system for the automatic classification of fricatives in speaker-independent continuous speech is proposed. The system uses an auditory-based front-end processing system and incorporates new algorithms for the extraction and manipulation of the acoustic-phonetic features that proved to be rich in their information content. Classification experiments are performed using hard-decision algorithms on fricatives extracted from the TIMIT database continuous speech of 60 speakers (not used in the design/training process) from seven different dialects of American English. An accuracy of 93% is obtained for voicing detection, 91% for place of articulation detection, and 87% for the overall classification of fricatives. (C) 2001 Acoustical Society of America.