Time delay neural network

Known as: TDNN 
Time delay neural network (TDNN) is an artificial neural network architecture whose primary purpose is to work on sequential data. The TDNN units… (More)
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Topic mentions per year

1989-2017
010203019892017

Papers overview

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Highly Cited
2015
Highly Cited
2015
Recurrent neural network architectures have been shown to efficiently model long term temporal dependencies between acoustic… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, we propose a novel real-valued time-delay neural network (RVTDNN) suitable for dynamic modeling of the baseband… (More)
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Highly Cited
2001
Highly Cited
2001
Computational methods for automated genome annotation are critical to understanding and interpreting the bewildering mass of… (More)
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1994
1994
The Time Delay Neural Network (TDNN) is one of the neural network architectures that give excellent performance in tasks… (More)
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1994
1994
This paper presents results regarding the application of Time-Delay Neural Networks (TDNNs), up to now mainly used in speech… (More)
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Highly Cited
1993
Highly Cited
1993
This paper describes an algorithm for verification of signatures written on a pen-input tablet. The algorithm is based on a novel… (More)
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Highly Cited
1990
Highly Cited
1990
-A translation-invariant back-propagation network is described that performs better than a soph&ticated continuous acoustic… (More)
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Highly Cited
1989
Highly Cited
1989
In this paper we present a Time-Delay Neural Network (TDNN) approach to phoneme recognition which is characterized by two… (More)
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Highly Cited
1989
Highly Cited
1989
Several strategies are described that overcome limitations of basic network models as steps towards the design of large… (More)
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Highly Cited
1989
Highly Cited
1989
The authors present single- and multispeaker recognition results for the voiced stop consonants /b, d, g/ using time-delay neural… (More)
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