A Comparison of Network Architectures
This chapter presents an experimental comparison between various neural network architectures on a framewise phoneme classification task (Graves and Schmidhuber, 2005a,b). Framewise phoneme classification is an example of a segment classification task (see Section 2.3.2). It tests an algorithm’s ability to segment and recognise the constituent parts of a speech signal, requires the use of contextual information, and can be regarded as a first step to continuous speech recognition.
KeywordsHide Layer Network Architecture Neural Network Architecture Frame Error Rate Weighted Error
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