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Part of the book series: Signals and Communication Technology ((SCT))

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Abstract

Recognizing the speech of non-native speakers is a challenge for automatic speech recognition systems. Non-native speech recognition is an important issue in applications such as speech-to-speech translation devices or speech dialog systems.

The pronunciation of non-natives deviates from native speech, leading to insertions, deletions and especially substitutions of sounds. The accent pattern depends mainly on the mother tongue of the speaker, phoneme confusion matrices can provide an illustration of those patterns.

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Correspondence to Rainer E. Gruhn .

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© 2011 Springer-Verlag Berlin Heidelberg

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Gruhn, R.E., Minker, W., Nakamura, S. (2011). Introduction. 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_1

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  • DOI: https://doi.org/10.1007/978-3-642-19586-0_1

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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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