Abstract
Automatic speech recognition (ASR) systems convert speech from a recorded audio signal to text. Humans convert words to speech with their speech production mechanism. An ASR system aims to infer those original words given the observable signal. The most common and as of today best method is the probabilistic approach. A speech signal corresponds to any word (or sequence of words) in the vocabulary with a certain probability.
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© 2011 Springer-Verlag Berlin Heidelberg
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Gruhn, R.E., Minker, W., Nakamura, S. (2011). Automatic Speech Recognition. In: Statistical Pronunciation Modeling for Non-Native Speech Processing. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19586-0_2
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DOI: https://doi.org/10.1007/978-3-642-19586-0_2
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19585-3
Online ISBN: 978-3-642-19586-0
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