Segmentation of Child-Directed Speech: A Statistical Approach
نویسنده
چکیده
This paper describes how distinctive features that classify speech sounds emerge from statistical analysis of Russian child-directed speech. The analysis is based on transcriptional representation of individual speech sounds. From the analysis of bigram distribution major natural classes such as consonants and vowels further subdivided into non-palatalized versus palatalized consonants and front versus non-front vowels can be computed. The results in the form of a probabilistic FSA exhibit strong associations between the uncovered subclasses of consonants and vowels that are supported by traditional linguistic analysis.
منابع مشابه
Statistical Speech Segmentation and Word Learning in Parallel: Scaffolding from Child-Directed Speech
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