迅速成长
发表于 2025-3-23 13:15:28
Reinhard Hünerbergauditory scene analysis in which the spectral pattern of each vowel constituent is first extracted and then matched against representations of those vowels in working memory. We found a different pattern of neural activity when individuals were required to identify concurrent vowels than when they w
刺穿
发表于 2025-3-23 15:19:34
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ambivalence
发表于 2025-3-23 19:37:07
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取消
发表于 2025-3-24 00:45:18
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传授知识
发表于 2025-3-24 05:57:05
Reinhard Hünerbergaders with sufficient background.Other readers may proceed through the main text, where the key results and applications will be presented in general heuristic terms, and illustrated with software routines and practical "show-and-tell" discussions of the results.At some points, the book refers to an
调情
发表于 2025-3-24 08:37:57
Reinhard Hünerbergll facilitate learning of those concepts which are essential to understanding the methods presented in later chapters. Readers whose background is too deficient in mathematics to permit understanding the equations will, I hope, still be able to learn many important concepts by focusing on the discus
circumvent
发表于 2025-3-24 11:35:58
Reinhard Hünerberg,Andreas Höferth imbedded speech technology. In 1996, however, the S-Class car of Mercedes-Benz introduced Linguatronic, the first generation of in-car speech system for anybody who drives a car . Since then, the number of in-vehicle applications using speech technology is increasing .
Agility
发表于 2025-3-24 18:49:21
Reinhard Hünerbergm in an intuitive manner. Moreover, trying to combine insights of the processes that underlie typical human interactions, spoken dialogue modelling also seeks to advance our knowledge and understanding of the principles that govern communicative situations in general.
不透气
发表于 2025-3-24 20:29:15
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Counteract
发表于 2025-3-25 02:02:19
Reinhard Hünerberg was drawn from the DyViS database (Nolan et al., A forensic phonetic study of dynamic sources of variability in speech: the DyViS project. In: Warren P, Watson, CI (eds) Proceedings of the 11th Australasian international conference on speech science and technology, Auckland, pp 13–18, 2006), and, i