Statistical regularities in linguistic input, such as transitional probability and phonotactic probability, have been shown to promote speech segmentation. It remains unclear, however, whether or how the combination of transitional probabilities and subtle phonotactic probabilities influence segmentation. The present study provides a fine-grained investigation of the effects of such combined statistics. Adults (N = 81) were tested in one of two conditions. In the Anchor condition, they heard a continuous stream of words with small differences in phonotactic probabilities. In the Uniform condition, all words had comparable phonotactic probabilities. In both conditions, transitional probability was stronger in words than in part-words. Only participants from the Anchor condition preferred words at test, indicating that the combination of transitional probabilities and subtle phonotactic probabilities may facilitate speech segmentation. We discuss the methodological implications of our findings, which demonstrate that even small phonotactic variations should be accounted for when investigating statistical speech segmentation.

语言输入中的统计规律，例如转换概率和音位概率，已被证明可以促进语音分割。然而，目前尚不清楚过渡概率和微妙的语音概率的组合是否或如何影响分割。本研究对这种组合统计的影响进行了细粒度的调查。成人（N= 81) 在两种条件之一中进行了测试。在 Anchor 条件下，他们听到了连续不断的语音流，语音概率差异很小。在 Uniform 条件下，所有单词都具有可比的语音概率。在这两种情况下，单词的过渡概率都比部分单词强。只有 Anchor 条件下的参与者在测试时更喜欢单词，这表明过渡概率和微妙的语音概率的组合可能有助于语音分割。我们讨论了我们的研究结果的方法论意义，这表明在研究统计语音分割时，即使是很小的音位变化也应该被考虑在内。