The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
광대역 음성 복구를 위해 HMM(Hidden Markov Model) 기반 매개변수 추정 기법을 제안합니다. 각 마르코프 상태에서는 벡터 편차의 가중 최소 제곱에서 파생된 새로운 매핑 함수를 사용하여 추정 효율성이 향상됩니다. 실험 결과는 제안된 방식의 성능이 HMM과 GMM(Gaussian Mixture Model)을 결합한 것보다 우수하다는 것을 보여줍니다.
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부
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
부
@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},}
부
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 -