Doppler-variant modeling of the vocal tract
(2008) International Conference on Acoustics, Speech and Signal Processing (ICASSP) p.4197-4200- Abstract
- A common technique to deploy linear prediction to non- stationary signals is time segmentation and local analysis. Variations of a process within such a segment cause inac- curacies. In this paper, we model the temporal changes of linear prediction coefficients (LPCs) as a Fourier series. We obtain a compact description of the vocal tract model limited by the predictor order and the maximum Doppler frequency. Filter stability is guaranteed by all-pass filtering, deploying the human ear’s insensitivity to absolute phase. The period- icity constraint induced by the Fourier series is counteracted by oversampling in the Doppler domain. With this approach, the number of coefficients required for the vocal tract model- ing is significantly... (More)
- A common technique to deploy linear prediction to non- stationary signals is time segmentation and local analysis. Variations of a process within such a segment cause inac- curacies. In this paper, we model the temporal changes of linear prediction coefficients (LPCs) as a Fourier series. We obtain a compact description of the vocal tract model limited by the predictor order and the maximum Doppler frequency. Filter stability is guaranteed by all-pass filtering, deploying the human ear’s insensitivity to absolute phase. The period- icity constraint induced by the Fourier series is counteracted by oversampling in the Doppler domain. With this approach, the number of coefficients required for the vocal tract model- ing is significantly reduced compared to a LPC system with block-wise adaptation while exceeding its prediction gain.
As a by-product it is found that the Doppler frequency of the vocal tract is in the order of 10 Hz. A generalization of the algorithm to an auto-regressive moving average model with time-correlated filter coefficients is straight forward. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1527911
- author
- Heim, Axel ; Sorger, Uli and Hug, Florian LU
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- ITG Conference on Voice Communication [8. ITG-Fachtagung]
- pages
- 4197 - 4200
- conference name
- International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- conference dates
- 2008-03-31 - 2008-04-04
- external identifiers
-
- scopus:51449083635
- ISSN
- 1520-6149
- ISBN
- 978-1-4244-1483-3
- DOI
- 10.1109/ICASSP.2008.4518580
- language
- English
- LU publication?
- no
- id
- fe177718-ac52-418c-b5b2-db50b84226a3 (old id 1527911)
- date added to LUP
- 2016-04-04 09:26:40
- date last changed
- 2022-01-29 17:54:40
@inproceedings{fe177718-ac52-418c-b5b2-db50b84226a3, abstract = {{A common technique to deploy linear prediction to non- stationary signals is time segmentation and local analysis. Variations of a process within such a segment cause inac- curacies. In this paper, we model the temporal changes of linear prediction coefficients (LPCs) as a Fourier series. We obtain a compact description of the vocal tract model limited by the predictor order and the maximum Doppler frequency. Filter stability is guaranteed by all-pass filtering, deploying the human ear’s insensitivity to absolute phase. The period- icity constraint induced by the Fourier series is counteracted by oversampling in the Doppler domain. With this approach, the number of coefficients required for the vocal tract model- ing is significantly reduced compared to a LPC system with block-wise adaptation while exceeding its prediction gain.<br/><br> As a by-product it is found that the Doppler frequency of the vocal tract is in the order of 10 Hz. A generalization of the algorithm to an auto-regressive moving average model with time-correlated filter coefficients is straight forward.}}, author = {{Heim, Axel and Sorger, Uli and Hug, Florian}}, booktitle = {{ITG Conference on Voice Communication [8. ITG-Fachtagung]}}, isbn = {{978-1-4244-1483-3}}, issn = {{1520-6149}}, language = {{eng}}, pages = {{4197--4200}}, title = {{Doppler-variant modeling of the vocal tract}}, url = {{https://lup.lub.lu.se/search/files/5326068/1593177.pdf}}, doi = {{10.1109/ICASSP.2008.4518580}}, year = {{2008}}, }