SPEECH RECOGNITION IN A NOISY CAR ENVIRONMENT BASED ON LP OF THE ONE- SIDED AUTOCORRELATION SEQUENCE AND ROBUST SIMILARITY MEASURING TECHNIQUES

This paper presents a novel representation of speech signals, based on the linear prediction of the one-sided autocorrelation sequence (OSALPC). This process is attractive for noisy speech recognition because of its high recognition performance in severe conditions of additive white noise and its computational simplicity.

• Supplemental Notes:
  • Publication Date: February 1997
• Corporate Authors:

  Universidad Politecnica de Catalunya

  Barcelona,   Spain 
• Authors:
  • Hernando, J
  • Nadeu, C
  • Marino, J B
• Publication Date: 1997

Language

• English

Media Info

• Pagination: p. 17-31
• Serial:
  • Speech communication. Vol. 21, no. 1-2
  • Publisher: Universidad Politecnica de Catalunya

Subject/Index Terms

• TRT Terms: Speech synthesis

Filing Info

• Accession Number: 00775298
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM