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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Finding line spectral frequencies using the fast fourier transform
 Institute of Electrical and Electronics Engineers IEEE; IEEE Signal Processing Society: IEEE 40th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015. Proceedings. Vol.7 : 1924 April 2015, Brisbane, Australia Piscataway, NJ: IEEE, 2015 ISBN: 9781467369978 ISBN: 9781467369985 S.51225126 
 International Conference on Acoustics, Speech, and Signal Processing (ICASSP) <40, 2015, Brisbane> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer IIS () 
Abstract
Mainstream speech codecs are based on modelling the speech source by a linear predictor. An efficient domain for quantization and coding of this linear predictor is the line spectral frequency representation, where the predictor is encoded into an ordered set of frequencies that correspond to the roots of the corresponding line spectral polynomials. While this representation is robust in terms of quantization, methods available for finding the line spectral frequencies are computationally complex. In this work, we present a method for finding these frequencies using the FFT, including methods for limiting numerical range in fixedpoint implementations. Our experiments show that, in comparison to a zerocrossing search in the Chebyshev domain, the proposed method reduces complexity and improves robustness, while retaining accuracy.