Improved Spectral Envelope Coding Algorithm Using Adaptive Filtering for G.729.1
Summary :
This paper proposes a new algorithm to encode the spectral envelope for G.729.1 more accurately. It applies the normalized least-mean- square (NLMS) algorithm to each subband energy of the modified discrete cosine transform (MDCT) in the time-domain alias cancellation (TDAC) of G.729.1. By utilizing the estimation error of subband energies by means of NLMS, allocated bit reduction for spectral envelope coding is achieved. The saved bits are then reused to improve the spectral envelope estimation and thus enhance the sound quality. Experimental results confirm that the proposed algorithm improves the sound quality under both clean and packet loss conditions.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.11 pp.2254-2257
- Publication Date
- 2014/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E97.A.2254
- Type of Manuscript
- LETTER
- Category
- Speech and Hearing
Authors
Keunseok CHO
KAIST
Sangbae JEONG
Gyeongsang Natl. Univ.
Minsoo HAHN
KAIST
Keyword
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Keunseok CHO, Sangbae JEONG, Minsoo HAHN, "Improved Spectral Envelope Coding Algorithm Using Adaptive Filtering for G.729.1" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 11, pp. 2254-2257, November 2014, doi: 10.1587/transfun.E97.A.2254.
Abstract: This paper proposes a new algorithm to encode the spectral envelope for G.729.1 more accurately. It applies the normalized least-mean- square (NLMS) algorithm to each subband energy of the modified discrete cosine transform (MDCT) in the time-domain alias cancellation (TDAC) of G.729.1. By utilizing the estimation error of subband energies by means of NLMS, allocated bit reduction for spectral envelope coding is achieved. The saved bits are then reused to improve the spectral envelope estimation and thus enhance the sound quality. Experimental results confirm that the proposed algorithm improves the sound quality under both clean and packet loss conditions.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.2254/_p
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@ARTICLE{e97-a_11_2254,
author={Keunseok CHO, Sangbae JEONG, Minsoo HAHN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Improved Spectral Envelope Coding Algorithm Using Adaptive Filtering for G.729.1},
year={2014},
volume={E97-A},
number={11},
pages={2254-2257},
abstract={This paper proposes a new algorithm to encode the spectral envelope for G.729.1 more accurately. It applies the normalized least-mean- square (NLMS) algorithm to each subband energy of the modified discrete cosine transform (MDCT) in the time-domain alias cancellation (TDAC) of G.729.1. By utilizing the estimation error of subband energies by means of NLMS, allocated bit reduction for spectral envelope coding is achieved. The saved bits are then reused to improve the spectral envelope estimation and thus enhance the sound quality. Experimental results confirm that the proposed algorithm improves the sound quality under both clean and packet loss conditions.},
keywords={},
doi={10.1587/transfun.E97.A.2254},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Improved Spectral Envelope Coding Algorithm Using Adaptive Filtering for G.729.1
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2254
EP - 2257
AU - Keunseok CHO
AU - Sangbae JEONG
AU - Minsoo HAHN
PY - 2014
DO - 10.1587/transfun.E97.A.2254
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2014
AB - This paper proposes a new algorithm to encode the spectral envelope for G.729.1 more accurately. It applies the normalized least-mean- square (NLMS) algorithm to each subband energy of the modified discrete cosine transform (MDCT) in the time-domain alias cancellation (TDAC) of G.729.1. By utilizing the estimation error of subband energies by means of NLMS, allocated bit reduction for spectral envelope coding is achieved. The saved bits are then reused to improve the spectral envelope estimation and thus enhance the sound quality. Experimental results confirm that the proposed algorithm improves the sound quality under both clean and packet loss conditions.
ER -
English
