Abstract
Based on Takens theory, time delay method is used to reconstruct the phase space of speech signal in this paper. In hyper dimensional phase space, similar sequence repeatability (RPT) and the entropy information of speech are calculated, and they are applied to speech recognition. The result proves that speech signal shows some geometric property between the stochastic Gauss noise and deterministic Lorenz attractor. For speech phonemes, the RPT parameters of same kind show some similarity, and of different kind show some different characteristics as well. The method proposed in this paper provides a new way for the non-linear analysis of speech recognition.
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Reference
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© 2000 Springer-Verlag Berlin Heidelberg
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Liang, C., Yanxin, C., Xiongwei, Z. (2000). Research on Speech Recognition Based on Phase Space Reconstruction Theory. In: Tan, T., Shi, Y., Gao, W. (eds) Advances in Multimodal Interfaces — ICMI 2000. ICMI 2000. Lecture Notes in Computer Science, vol 1948. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40063-X_42
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DOI: https://doi.org/10.1007/3-540-40063-X_42
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