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The issue of robustness in the presence of noise is regarded as a significant bottleneck in the commercialisation of speech recognition products, particularly in mobile environments. This paper examines the use of an auditory model combined with a speech enhancement algorithm as a robust front-end for a distributed speech recognition (DSR) system, whereby frontend functionality is implemented on a...
The issue of robustness in the presence of noise is regarded as a significant bottleneck in the commercialisation of speech recognition products, particularly in mobile environments. This paper examines the use of an auditory model combined with a speech enhancement algorithm as a robust front-end for a distributed speech recognition (DSR) system, whereby front-end functionality is implemented on...
This paper addresses the problem of speech recognition in noisy conditions. In particular, the paper examines the use of an auditory model as a front-end for a HMM-based speech recognition system. To further improve the performance of the auditory-based recognition system in background noise, the input speech is pre-processed using an algorithm for speech enhancement Preliminary results indicate that...
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