Abstract
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.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Graves, A. (2012). A Comparison of Network Architectures. In: Supervised Sequence Labelling with Recurrent Neural Networks. Studies in Computational Intelligence, vol 385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24797-2_5
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DOI: https://doi.org/10.1007/978-3-642-24797-2_5
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