Abstract
Automatic speech recognition for real-world applications such as a robot should deal with speech under noisy environments. This paper presents coarse phoneme recognition which uses a phoneme group instead of a phoneme as a unit of speech recognition for such a real-world application. In coarse phoneme recognition, the design of the phoneme group is crucial. We, thus, introduce two types of phoneme groups – exclusive and overlapping phoneme groups, and evaluate coarse phoneme recognition with these two phoneme grouping methods under various kinds of noise conditions. The experimental results show that our proposed overlapping phoneme grouping improves the correct phoneme inclusion rate by 20 points on average.
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Nakadai, K., Sumiya, R., Nakano, M., Ichige, K., Hirose, Y., Tsujino, H. (2007). The Design of Phoneme Grouping for Coarse Phoneme Recognition. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_90
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DOI: https://doi.org/10.1007/978-3-540-73325-6_90
Publisher Name: Springer, Berlin, Heidelberg
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