### Resumé

Originalsprog | Engelsk |
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Titel | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 |

Antal sider | 5 |

Forlag | IEEE |

Publikationsdato | 19 jun. 2017 |

Sider | 731-735 |

ISBN (Elektronisk) | 978-1-5090-4117-6 |

DOI | |

Status | Udgivet - 19 jun. 2017 |

Begivenhed | The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing: The Internet of Signals - New Orleans, USA Varighed: 5 mar. 2017 → 9 mar. 2017 http://www.ieee-icassp2017.org/ http://www.ieee-icassp2017.org/ |

### Konference

Konference | The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing |
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Land | USA |

By | New Orleans |

Periode | 05/03/2017 → 09/03/2017 |

Internetadresse |

Navn | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
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ISSN | 1520-6149 |

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### Citer dette

*IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017*(s. 731-735). IEEE. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings https://doi.org/10.1109/ICASSP.2017.7952252

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*IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.*IEEE, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, s. 731-735, The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, 05/03/2017. https://doi.org/10.1109/ICASSP.2017.7952252

**Least 1-Norm Pole-Zero Modeling with Sparse Deconvolution for Speech Analysis.** / Shi, Liming; Jensen, Jesper Rindom; Christensen, Mads Græsbøll.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Least 1-Norm Pole-Zero Modeling with Sparse Deconvolution for Speech Analysis

AU - Shi, Liming

AU - Jensen, Jesper Rindom

AU - Christensen, Mads Græsbøll

PY - 2017/6/19

Y1 - 2017/6/19

N2 - In this paper, we present a speech analysis method based on sparse pole-zero modeling of speech. Instead of using the all-pole model to approximate the speech production filter, a pole-zero model is used for the combined effect of the vocal tract; radiation at the lips and the glottal pulse shape. Moreover, to consider the spiky excitation form of the pulse train during voiced speech, the modeling parame- ters and sparse residuals are estimated in an iterative fashion using a least 1-norm pole-zero with sparse deconvolution algorithm. Com- pared with the conventional two-stage least squares pole-zero, linear prediction and sparse linear prediction methods, experimental results show that the proposed speech analysis method has lower spectral distortion, higher reconstruction SNR and sparser residuals.

AB - In this paper, we present a speech analysis method based on sparse pole-zero modeling of speech. Instead of using the all-pole model to approximate the speech production filter, a pole-zero model is used for the combined effect of the vocal tract; radiation at the lips and the glottal pulse shape. Moreover, to consider the spiky excitation form of the pulse train during voiced speech, the modeling parame- ters and sparse residuals are estimated in an iterative fashion using a least 1-norm pole-zero with sparse deconvolution algorithm. Com- pared with the conventional two-stage least squares pole-zero, linear prediction and sparse linear prediction methods, experimental results show that the proposed speech analysis method has lower spectral distortion, higher reconstruction SNR and sparser residuals.

KW - Pole-zero model

KW - least 1-norm cost function

KW - sparse deconvolution

KW - speech analysis

U2 - 10.1109/ICASSP.2017.7952252

DO - 10.1109/ICASSP.2017.7952252

M3 - Article in proceeding

T3 - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

SP - 731

EP - 735

BT - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017

PB - IEEE

ER -