Frame decorrelation for noise-robust speech recognition

H. Y. Jung, D. Y. Kim, C. K. Un

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


The authors propose a frame decorrelation method to cope with background noise in speech recognition. Since noise is modelled as a stationary perturbation in most cases, it is effective to reduce slow-varying components. One example ofusing this principle is the highpass scheme. The proposed method has the same property as the highpass scheme. It transforms feature vector sequences into decorrelated sequences and enhances transition regions. Simulation results show that this method is effective for speech with significant noise, and works better than other highpass methods.

Original languageEnglish
Pages (from-to)1163-1164
Number of pages2
JournalElectronics Letters
Issue number13
StatePublished - 20 Jun 1996


  • Signal processing
  • Speech recognition


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