@InProceedings{6951970,
  author = {R. Sugiura and Y. Kamamoto and N. Harada and H. Kameoka and T. Moriya},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Direct linear conversion of LSP parameters for perceptual control in speech and audio coding},
  year = {2014},
  pages = {56-60},
  abstract = {We have devised a direct and simple scheme for linear conversion of line spectrum pairs (LSP) with low computational complexity aiming at weighting or inverse weighting spectral envelopes for noise control in speech and audio coders. Using optimally prepared coefficients, we can perform the conversion directly in the LSP domain, which ensures low computational costs and also simplifies the check or the modification of unstable parameters. We show that this method performs the same as the weighting in the linear prediction coding domain but with lower complexity in a low-bit-rate situation. The devised method is therefore expected to be useful for low-bit-rate speech and audio coders for mobile communications.},
  keywords = {audio coding;computational complexity;linear predictive coding;speech coding;vocoders;mobile communications;low-bit-rate speech audio coders;low-bit-rate speech coders;linear prediction coding;noise control;inverse weighting spectral envelope;computational complexity;line spectrum pairs;audio coding;speech coding;perceptual control;LSP parameters;direct linear conversion;Speech;Speech coding;Audio coding;Quantization (signal);Vectors;Noise;Computational complexity;audio coding;signal processing;LSP;linear approximation;TCX},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569923123.pdf},
}

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Moriya},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {Direct linear conversion of LSP parameters for perceptual control in speech and audio coding},\n year = {2014},\n pages = {56-60},\n abstract = {We have devised a direct and simple scheme for linear conversion of line spectrum pairs (LSP) with low computational complexity aiming at weighting or inverse weighting spectral envelopes for noise control in speech and audio coders. Using optimally prepared coefficients, we can perform the conversion directly in the LSP domain, which ensures low computational costs and also simplifies the check or the modification of unstable parameters. We show that this method performs the same as the weighting in the linear prediction coding domain but with lower complexity in a low-bit-rate situation. 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