Auditory-based acoustic distinctive features and spectral cues for robust automatic speech recognition in Low-SNR car environments

  • Authors:

  • Sid-Ahmed Selouani;Hesham Tolba;Douglas O'Shaughnessy

  • Affiliations:

  • Université de Moncton, Shippagan, Canada;INRS-Télécommunications, Montréal, Canada;INRS-Télécommunications, Montréal, Canada

  • Venue:
  • NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
  • Year:
  • 2003

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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.