A Statistical Model for Word Discovery in Transcribed Speech
A Statistical Model for Word Discovery in Transcribed Speech
复制标题
转录语音中单词发现的统计模型
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
A. Venkataraman
中科院分区：
文献类型：
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作者：
A. Venkataraman
提出了一种用于连续语音分词和词发现的统计模型。描述了一种基于该模型的增量无监督学习算法来推断词边界。实验结果表明，该算法与其他用于类似任务的模型相比具有竞争力。
A statistical model for segmentation and word discovery in continuous speech is presented. An incremental unsupervised learning algorithm to infer word boundaries based on this model is described. Results are also presented of empirical tests showing that the algorithm is competitive with other models that have been used for similar tasks.
影响因子：
4.6
作者：
JUSCZYK, PW;CUTLER, A;REDANZ, NJ
通讯作者：
REDANZ, NJ