@InProceedings{Krini2017_260,
author = {Mohammed Krini},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2017},
title = {Refinement Methods as Preprocessing or Postprocessing for Short- Term Spectra Analysis},
year = {2017},
editor = {Jürgen Trouvain and Ingmar Steiner and Bernd Möbius},
month = mar,
pages = {346--353},
publisher = {TUDpress, Dresden},
abstract = {In this contribution a generalized spectral refinement method of speech signals will be presented
which can either be applied at a preprocessing stage before or at a postprocessing
stage after a conventional frequency analysis. The refinement approach is based on a linear
combination of weighted and shifted input speech signal segments. By applying the
refinement method - either in time or in the subband domain - a refined version of the original
short-term spectrum is obtained. Furthermore, the relationship between a polyphase
filterbank and a spectral refinement technique will be considered. It will be shown, that the
proposed refinement method applied as a preprocessor of conventional DFT-based analysis
filterbanks is an extension of polyphase-based filterbank structures. The proposed spectral
refinement technique is also very efficient and requires only few multiplications and additions.
Experimental results based on the proposed refinement methods have shown that the
robustness of pitch frequency estimation can be enhanced considerably.},
isbn = {978-3-959080-92-7},
issn = {0940-6832},
keywords = {Poster},
url = {https://www.essv.de/pdf/2017_346_353.pdf},
}