منابع مشابه
Temporal Processing Neural Networks for Speech Recognition
Application of the temporal processing neural networks (TPNNs) to the speech recognition is justified by the nature of the task. Indeed ASR is a sequence recognition problem and assumes incorporation of time into decision process. Static models treat elements of sequence as independent patterns, which is clearly unrealistic. On the other hand temporal processing nets, built on the basis of mult...
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I present a general taxonomy of neural net architectures for processing time-varying patterns. This taxonomy subsumes many existing architectures in the literature, and points to several promising architectures that have yet to be examined. Any architecture that processes timevarying patterns requires two conceptually distinct components: a short-term memory that holds on to relevant past event...
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A complete understanding of sensory and motor processing requires characterization of how the nervous system processes time in the range of tens to hundreds of milliseconds (ms). Temporal processing on this scale is required for simple sensory problems, such as interval, duration, and motion discrimination, as well as complex forms of sensory processing, such as speech recognition. Timing is al...
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ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 1993
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss1987.113.6_372