2007 | OriginalPaper | Buchkapitel
The Design of Phoneme Grouping for Coarse Phoneme Recognition
verfasst von : Kazuhiro Nakadai, Ryota Sumiya, Mikio Nakano, Koichi Ichige, Yasuo Hirose, Hiroshi Tsujino
Erschienen in: New Trends in Applied Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.