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      • Department of Computer Engineering
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      Subband analysis for robust speech recognition in the presence of car noise

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      Author
      Çetin, A. Enis
      Yardımcı, Y.
      Erzin, Engin
      Date
      1995-05
      Source Title
      IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1995
      Print ISSN
      0736-7791
      Publisher
      IEEE
      Pages
      417 - 420
      Language
      English
      Type
      Conference Paper
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      Abstract
      In this paper, a new set of speech feature representations for robust speech recognition in the presence of car noise are proposed. These parameters are based on subband analysis of the speech signal. Line Spectral Frequency (LSF) representation of the Linear Prediction (LP) analysis in subbands and cepstral coefficients derived from subband analysis (SUBCEP) are introduced, and the performances of the new feature representations are compared to mel scale cepstral coefficients (MELCEP) in the presence of car noise. Subband analysis based parameters are observed to be more robust than the commonly employed MELCEP representations.
      Keywords
      Acoustic noise
      Computer simulation
      Feature extraction
      Markov processes
      Mathematical models
      Numerical analysis
      Polynomials
      Speech analysis
      Vector quantization
      Parameter estimation
      Pattern recognition systems
      Performance
      Cepstral coefficient
      Line spectral frequency
      Linear prediction analysis
      Mel scale cepstral coefficient
      Speech signal
      Subband analysis
      Car noise
      Hidden Markov model
      Linear predictive coding
      Mel scale cepstral coefficients
      Speech recognition system
      Speech recognition
      Permalink
      http://hdl.handle.net/11693/27764
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICASSP.1995.479610
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      • Department of Computer Engineering 1368
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