Combining HMM and Weighted Deviation Linear Transformation for Highband Speech Parameter Estimation
Summary :
A hidden Markov model (HMM)-based parameter estimation scheme is proposed for wideband speech recovery. In each Markov state, the estimation efficiency is improved using a new mapping function derived from the weighted least squares of vector deviations. The experimental results reveal that the performance of the proposed scheme is superior to that combining the HMM and Gaussian mixture model (GMM).
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.7 pp.1488-1490
- Publication Date
- 2009/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.1488
- Type of Manuscript
- LETTER
- Category
- Speech and Hearing
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Hwai-Tsu HU, Chu YU, "Combining HMM and Weighted Deviation Linear Transformation for Highband Speech Parameter Estimation" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 7, pp. 1488-1490, July 2009, doi: 10.1587/transinf.E92.D.1488.
Abstract: A hidden Markov model (HMM)-based parameter estimation scheme is proposed for wideband speech recovery. In each Markov state, the estimation efficiency is improved using a new mapping function derived from the weighted least squares of vector deviations. The experimental results reveal that the performance of the proposed scheme is superior to that combining the HMM and Gaussian mixture model (GMM).
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1488/_p
Copy
@ARTICLE{e92-d_7_1488,
author={Hwai-Tsu HU, Chu YU, },
journal={IEICE TRANSACTIONS on Information},
title={Combining HMM and Weighted Deviation Linear Transformation for Highband Speech Parameter Estimation},
year={2009},
volume={E92-D},
number={7},
pages={1488-1490},
abstract={A hidden Markov model (HMM)-based parameter estimation scheme is proposed for wideband speech recovery. In each Markov state, the estimation efficiency is improved using a new mapping function derived from the weighted least squares of vector deviations. The experimental results reveal that the performance of the proposed scheme is superior to that combining the HMM and Gaussian mixture model (GMM).},
keywords={},
doi={10.1587/transinf.E92.D.1488},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - Combining HMM and Weighted Deviation Linear Transformation for Highband Speech Parameter Estimation
T2 - IEICE TRANSACTIONS on Information
SP - 1488
EP - 1490
AU - Hwai-Tsu HU
AU - Chu YU
PY - 2009
DO - 10.1587/transinf.E92.D.1488
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2009
AB - A hidden Markov model (HMM)-based parameter estimation scheme is proposed for wideband speech recovery. In each Markov state, the estimation efficiency is improved using a new mapping function derived from the weighted least squares of vector deviations. The experimental results reveal that the performance of the proposed scheme is superior to that combining the HMM and Gaussian mixture model (GMM).
ER -
English
