Skip to content
VuFind
Advanced
  • Towards The Use of Full Covari...
  • Cite this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
Export Ready — 
Towards The Use of Full Covariance Models for Missing Data Speaker Recognition
QR Code

Towards The Use of Full Covariance Models for Missing Data Speaker Recognition

Bibliographic Details
Main Authors: Kuhne, M., Pullella, D., Togneri, R., Nordholm, Sven
Other Authors: IEEE Signal Processing Society
Format: Conference Paper
Published: IEEE Operations Centre 2008
Online Access:http://hdl.handle.net/20.500.11937/37478
  • Holdings
  • Description
  • Similar Items
  • Staff View
Description
Description not available.

Similar Items

  • Evidence Modeling for Missing Data Speech Recognition Using Small Microphone Arrays
    by: Kuhne, M., et al.
    Published: (2011)
  • A New Evidence Model for Missing Data Speech Recognition With Applications in Reverberant Multi-Source Environments
    by: Kuhne, M., et al.
    Published: (2011)
  • Adaptive Beamforming and soft missing data decoding for robust speech recognition in reverberant environments
    by: Kuhne, M., et al.
    Published: (2008)
  • Time-Frequency Masking: Linking Blind Source Separation and Robust Speech Recognition
    by: Kuhne, M., et al.
    Published: (2008)
  • A novel fuzzy clustering algorithm using observation weighting and context information for reverberant blind speech separation
    by: Kuhne, M., et al.
    Published: (2009)

Search Options

  • Advanced Search

Find More

  • Browse the Catalog

Need Help?

  • Search Tips