Abstract
In this paper, a multi-stream paradigm is proposed to improve the performance of automatic speech recognition (ASR) systems in the presence of highly interfering car noise. It was found that combining the classical MFCCs with some auditory-based acoustic distinctive cues and the main formant frequencies of a speech signal using a multi-stream paradigm leads to an improvement in the recognition performance in noisy car environments.
Cite
CITATION STYLE
Selouani, S. A., Tolba, H., & O’Shaughnessy, D. (2003). Auditory-based acoustic distinctive features and spectral cues for robust automatic speech recognition in low-SNR car environments. In Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - Short Papers, HLT-NAACL 2003 (pp. 91–93). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1073483.1073514
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