用动态吸引子模拟语音识别，解释了为何短词易辨识、长词易混淆。
Speech perception: a model of word recognition
- 用下降动力学建模语音，单词对应吸引子状态。
- 短词识别快且准确，长词有陷入歧义的可能。
- 适合研究语音感知机制或语言认知的心理学家。
我们提出一种语音感知模型，考虑了音素间的相关性。在该模型中，单词对应于适当选择的下降动力学的吸引子。由此产生的词汇表中短词丰富，长词较少，符合合理的词长分布。我们分别考察了在误听情况下的短词与长词解码过程。在短词情况下，算法要么快速恢复正确单词，要么提出另一个有效单词；而在长词情况下，虽然成功解码仍相对较快，但存在有限概率永久迷失于合适单词的景观中，无法稳定收敛。
原文摘要 · Abstract (English)
We present a model of speech perception which takes into account effects of correlations between sounds. Words in this model correspond to the attractors of a suitably chosen descent dynamics. The resulting lexicon is rich in short words, and much less so in longer ones, as befits a reasonable word length distribution. We separately examine the decryption of short and long words in the presence of mishearings. In the regime of short words, the algorithm either quickly retrieves a word, or proposes another valid word. In the regime of longer words, the behaviour is markedly different. While the successful decryption of words continues to be relatively fast, there is a finite probability of getting lost permanently, as the algorithm wanders round the landscape of suitable words without ever settling on one.
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