Linguistically-motivated automatic classification of regional French varieties
Linguistically-motivated automatic classification of regional French varieties
复制标题
法国地区品种的语言驱动自动分类
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
M. Adda
中科院分区：
文献类型：
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作者：
Cécile Woehrling;Philippe Boula de Mareüil;M. Adda
本研究的目的是通过应用语言动机方法自动区分法语品种（标准法语和法国南部、阿尔萨斯、比利时和瑞士使用的法语品种）。我们利用自动音素对齐来测量元音共振、辅音（de）发声、发音变体以及韵律线索。然后利用这些特征通过分类技术来识别法国品种。在数百名说话者的大型语料库上，获得了80%以上的正确识别分数。品种和（决策树）使用的特征之间的混淆在语言学上是有根据的。检索术语：语言品种鉴定，法语地区口音，分类
The goal of this study is to automatically differentiate French varieties (standard French and French varieties spoken in the South of France, Alsace, Belgium and Switzerland) by applying a linguistically-motivated approach. We took advantage of automatic phoneme alignment to measure vowel formants, consonant (de)voicing, pronunciation variants as well as prosodic cues. These features were then used to identify French varieties by applying classification techniques. On large corpora of hundreds of speakers, over 80% correct identification scores were obtained. The confusions between varieties and the features used (by decision trees) are linguistically grounded. Index Terms: language variety identification, regional French accents, classification