Abstract
The modeling of speech can be used for speech synthesis and speech recognition. We present a speech analysis method based on pole-zero modeling of speech with mixed block sparse and Gaussian excitation. By using a pole-zero model, instead of the all-pole model, a better spectral fitting can be expected. Moreover, motivated by the block sparse glottal flow excitation during voiced speech and the white noise excitation for unvoiced speech, we model the excitation sequence as a combination of block sparse signals and white noise. A variational EM (VEM) method is proposed for estimating the posterior PDFs of the block sparse residuals and point estimates of mod- elling parameters within a sparse Bayesian learning framework. Compared to conventional pole-zero and all-pole based methods, experimental results show that the proposed method has lower spectral distortion and good performance in reconstructing of the block sparse excitation.
Original language | English |
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Title of host publication | The 25th European Signal Processing Conference (EUSIPCO 2017) |
Number of pages | 5 |
Publisher | IEEE |
Publication date | 28 Aug 2017 |
Pages | 1784-1788 |
ISBN (Print) | 978-0-9928626-7-1 |
DOIs | |
Publication status | Published - 28 Aug 2017 |
Event | 25th European Signal Processing Conference 2017 - Kos International Convention Center, Kos, Greece Duration: 28 Aug 2017 → 2 Sept 2017 Conference number: 25 https://www.eusipco2017.org/# |
Conference
Conference | 25th European Signal Processing Conference 2017 |
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Number | 25 |
Location | Kos International Convention Center |
Country/Territory | Greece |
City | Kos |
Period | 28/08/2017 → 02/09/2017 |
Internet address |
Series | Proceedings of the European Signal Processing Conference |
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ISSN | 2076-1465 |