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
Peramal jangka panjang (LTP) boleh mengurangkan redundansi kuasi-periodik isyarat pertuturan dengan berkesan. Peramal padang tradisional dalam sistem pengekodan ramalan linear dibangunkan dengan mengandaikan bahawa perolehan padang adalah malar dalam setiap subframe pemprosesan. Dalam makalah ini, kami memperkenalkan keuntungan ramalan masa yang berbeza-beza untuk mencapai perwakilan yang lebih baik bagi keberkalaan pertuturan daripada pendekatan tradisional. Disebabkan oleh variasi pertuturan yang tidak pegun, kaedah LTP yang dicadangkan boleh mengesan turun naik terperinci amplitud pertuturan dalam kedua-dua tempoh sementara dan pegun. Keputusan simulasi menunjukkan bahawa peramal nada pelbagai-keuntungan urutan pertama yang dicadangkan memperoleh kualiti pertuturan yang hampir seperti yang dilakukan oleh peramal nada tertib kelima bagi pengekod G.723.1; bagaimanapun, yang pertama memerlukan pengiraan yang jauh lebih rendah daripada yang terakhir.
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Salinan
Jar-Ferr YANG, Rong-San LIN, Seric HU, "Time-Varied Pitch Gain Predictor for Low Bit Rate Speech Coders" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 4, pp. 751-758, April 2002, doi: .
Abstract: The long-term predictor (LTP) can effectively reduce the redundancy of the quasi-periodicity of speech signals. Traditional pitch predictors in linear predictive coding systems are developed by assuming that pitch gains are constant in each processing subframe. In this paper, we introduce a time-varied prediction gain to achieve a better representation of speech periodicity than the traditional approach. Due to the non-stationary variation of speech, the proposed LTP method can trace the detailed fluctuation of speech amplitude in both transient and stationary periods. Simulation results show that the proposed first-order varied-gain pitch predictor obtains a near speech quality as the fifth-order pitch predictor of the G.723.1 coder does; however, the former requires much lower computation than the latter.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_4_751/_p
Salinan
@ARTICLE{e85-d_4_751,
author={Jar-Ferr YANG, Rong-San LIN, Seric HU, },
journal={IEICE TRANSACTIONS on Information},
title={Time-Varied Pitch Gain Predictor for Low Bit Rate Speech Coders},
year={2002},
volume={E85-D},
number={4},
pages={751-758},
abstract={The long-term predictor (LTP) can effectively reduce the redundancy of the quasi-periodicity of speech signals. Traditional pitch predictors in linear predictive coding systems are developed by assuming that pitch gains are constant in each processing subframe. In this paper, we introduce a time-varied prediction gain to achieve a better representation of speech periodicity than the traditional approach. Due to the non-stationary variation of speech, the proposed LTP method can trace the detailed fluctuation of speech amplitude in both transient and stationary periods. Simulation results show that the proposed first-order varied-gain pitch predictor obtains a near speech quality as the fifth-order pitch predictor of the G.723.1 coder does; however, the former requires much lower computation than the latter.},
keywords={},
doi={},
ISSN={},
month={April},}
Salinan
TY - JOUR
TI - Time-Varied Pitch Gain Predictor for Low Bit Rate Speech Coders
T2 - IEICE TRANSACTIONS on Information
SP - 751
EP - 758
AU - Jar-Ferr YANG
AU - Rong-San LIN
AU - Seric HU
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2002
AB - The long-term predictor (LTP) can effectively reduce the redundancy of the quasi-periodicity of speech signals. Traditional pitch predictors in linear predictive coding systems are developed by assuming that pitch gains are constant in each processing subframe. In this paper, we introduce a time-varied prediction gain to achieve a better representation of speech periodicity than the traditional approach. Due to the non-stationary variation of speech, the proposed LTP method can trace the detailed fluctuation of speech amplitude in both transient and stationary periods. Simulation results show that the proposed first-order varied-gain pitch predictor obtains a near speech quality as the fifth-order pitch predictor of the G.723.1 coder does; however, the former requires much lower computation than the latter.
ER -