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Speech dynamics refer to the temporal characteristics in all stages of the human speech communication process. This speech starts with the formation of a linguistic message in a speaker's brain and ends with the arrival of the message in a listener's brain. Given the intricacy of the dynamic speech process and its fundamental importance in human communication, this monograph is intended to provide a comprehensive material on mathematical models of speech dynamics and to address the following issues: How do we make sense of the complex speech process in terms of its functional role of speech communication? How do we quantify the special role of speech timing? How do the dynamics relate to the variability of speech that has often been said to seriously hamper automatic speech recognition? How do we put the dynamic process of speech into a quantitative form to enable detailed analyses? And finally, how can we incorporate the knowledge of speech dynamics into computerized speech analysis and recognition algorithms? The answers to all these questions require building and applying computational models for the dynamic speech process.

Oral communication --- Speech --- Automatic speech recognition. --- Mathematical models. --- Mechanical speech recognizer --- Speech recognition, Automatic --- Talking --- Oral transmission --- Speech communication --- Verbal communication --- Articulatory trajectories. --- Coarticulation. --- Discretizing hidden dynamics. --- Dynamic Bayesian network. --- Formant tracking. --- Generative modeling. --- Speech acoustics. --- Speech dynamics. --- Vocal tract resonance. --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Language and languages --- Phonetics --- Voice --- Communication