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Home > Engineering and Information Technology > Griffith School of Engineering > Staff > Professor Kuldip Paliwal

Professor Kuldip Paliwal

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Photo of Professor Kuldip Paliwal

B Science, M Science, PhD

Professor, Griffith School of Engineering

Contact details for Professor Kuldip Paliwal

Research expertise

  • Speech processing
  • Speech coding
  • Speech recognition
  • Speech enhancement
  • Speaker recognition
  • Pattern recognition
  • Artificial neural networks and Machine learning
  • Face recognition

Current teaching areas

  • Signals and systems
  • Digital signal processing
  • Advanced digital signal processing

Publications

  • 1. L.D. Alsteris and K.K. Paliwal, "Iterative reconstruction of speech from short-time Fourier transform phase and magnitude spectra", Computer Speech and Language, Vol. 21, No. 1, pp. 174-186, Jan. 2007.
  • A. Sharma, K.K. Paliwal and G.C. Onwubolu, "Splitting technique initialization in local PCA", Journal of Computer Science, Vol. 2, No. 1, pp. 53-58, 2006.
  • B. Gajic and K.K. Paliwal, "Robust speech recognition in noisy environments based on subband spectral centroid histograms", Institute of Electrical and Electronics Engineers Trans. Audio, Speech and Language Processing, Vol. 14, No. 2, pp. 600-608, Mar. 2006.
  • S. So and K.K. Paliwal, "Multi-frame GMM-based block quantisation for distributed speech recognition under noisy conditions", Proc. Institute of Electrical and Electronics Engineers Intern. Conf. on Acoustics, Speech and Signal Processing, Toulouse, France, Vol. I, pp. 189-192, May 2006.
  • L.D. Alsteris and K.K. Paliwal, "Further intelligibility results from human listening tests using the short-time phase spectrum", Speech Communication, Vol. 48, No. 6, 727-736, June 2006.
  • S. So and K.K. Paliwal, "Scalable distributed speech recognition using Gaussian mixture model-based block quantization", Speech Communication, Vol. 48, No. 6, pp. 746-758, June 2006.
  • A. Sharma, K.K. Paliwal and G.C. Onvwbolu, "Class-dependent PCA, MDC, and LDA: A combined classifier for pattern recognition", Pattern Recognition, Vol. 39, No. 7, pp. 1215-1229, July 2006.
  • S. So and K.K. Paliwal, "Empirical lower bound on the bitrate for the transparent memoryless coding of wideband LPC parameters", Institute of Electrical and Electronics Engineers Signal Processing Letters, Vol. 13, No. 9, pp. 569-572, Sept. 2006.
  • A. Sharma and K.K. Paliwal, "Subspace independent component analysis using vector kurtosis", Pattern Recognition, Vol. 39, No. 11, pp. 2227-2232, Nov. 2006.
  • B. Shannon and K.K. Paliwal, "Role of phase estimation in speech enhancement", Proc. Intern. Conf. Spoken Language Processing (INTERSPEECH 2006 - ICSLP), Pittsburgh, The United States of America, pp. 1423-1426, Sept. 2006.
  • B. Shannon and K.K. Paliwal, "Speech enhancement based on spectral estimation from higher-lag autocorrelation", Proc. Intern. Conf. Spoken Language Processing (INTERSPEECH 2006 - ICSLP), Pittsburgh, The United States of America, pp. 1427-1430, Sept. 2006.
  • A. Sharma, K.K. Paliwal and G.C. Onwubolu, "Rotational linear discriminant analysis using Bayes rule for dimensionality reduction", Journal of Computer Science, Vol. 2, No. 9, pp. 754-757, 2006.
  • B. Shannon and K.K. Paliwal, "Feature extraction from higher-lag autocorrelation coefficients for robust speech recognition", Speech Communication, Vol. 48, No. 11, pp. 1458-1485, Nov. 2006.
  • S. So and K.K. Paliwal, "Efficient product code vector quantisation using the switched split vector quantiser", Digital Signal Processing, 2006 (in press).
  • S. So and K.K. Paliwal, "A comparative study of LPC parameter representations and quantisation schemes for wideband speech coding", Digital Signal Processing, 2006 (in press).
  • L.D. Alsteris and K.K. Paliwal, "Short-time phase spectrum in speech processing: A review and some experimental results", Digital Signal Processing, 2006 (in press).
  • For a full list of publications please see personal website below.

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