Abstract
Human preference for speech as a natural form of communication has increased the interest of many research groups over the years in developing robust Automatic Speech Recognition (ASR) systems. These systems allow a natural operation of several devices such as mobile phones, navigations systems and language translators. Additionally, novice users would be able to get easily familiar with a particular device if the interface is based on speech. Moreover, there are more advanced tasks such as call-centers where a fully interaction between humans and machines is required. In these tasks, a Spoken Dialog System is needed [Minker 04] where the ASR module plays an important role in the robustness of the system.
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© 2013 Springer Berlin Heidelberg
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Vasquez, D., Gruhn, R., Minker, W. (2013). Introduction. In: Hierarchical Neural Network Structures for Phoneme Recognition. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34425-1_1
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DOI: https://doi.org/10.1007/978-3-642-34425-1_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34424-4
Online ISBN: 978-3-642-34425-1
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