The KanNon System - vowel recognition using time-delay neural networks
نویسندگان
چکیده
منابع مشابه
Vowel Recognition using Neural Networks
Speech recognition techniques have been developed dramatically in recent years. Nevertheless, errors caused by environmental noise are still a serious problem in recognition. Employing algorithms to detect and follow the motion of lips have been widely used to improve the performance of speech recognition algorithms. This paper presents a novel technique to recognize vowels. Lip features extrac...
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In this paper we present a Time-Delay Neural Network (TDNN) approach to phoneme recognition which is characterized by two important properties. 1) Using a 3 layer arrangement of simple computing units, a hierarchy can be constructed that allows for the formation of arbitrary nonlinear decision surfaces. The TDNN learns these decision surfaces automatically using error backpropagation 111. 2) Th...
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Multi-State Time Delay Neural Networks for Continuous Speech Recognition
Alex Waibel Carnegie Mellon University Pittsburgh, PA 15213 [email protected] We present the "Multi-State Time Delay Neural Network" (MS-TDNN) as an extension of the TDNN to robust word recognition. Unlike most other hybrid methods. the MS-TDNN embeds an alignment search procedure into the connectionist architecture. and allows for word level supervision. The resulting system has the ability to ma...
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ژورنال
عنوان ژورنال: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
سال: 2006
ISSN: 2188-4730,2188-4749
DOI: 10.5687/sss.2006.131