Phonetic confusion matrix based spoken document retrieval
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Real-time auditory and visual multiple-object tracking for humanoids
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Recognition of simultaneous speech by estimating reliability of separated signals for robot audition
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
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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.