In this letter, we propose a coding mode selection method for the AMR-WB+ audio coder based on a decision tree. In order to reduce computation while maintaining good performance, decision tree classifier is adopted with the closed loop mode selection results as the target classification labels. The size of the decision tree is controlled by pruning, so the proposed method does not increase the memory requirement significantly. Through an evaluation test on a database covering both speech and music materials, the proposed method is found to achieve a much better mode selection accuracy compared with the open loop mode selection module in the AMR-WB+.
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Jong Kyu KIM, Nam Soo KIM, "Improved Frame Mode Selection for AMR-WB+ Based on Decision Tree" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 6, pp. 1830-1833, June 2008, doi: 10.1093/ietisy/e91-d.6.1830.
Abstract: In this letter, we propose a coding mode selection method for the AMR-WB+ audio coder based on a decision tree. In order to reduce computation while maintaining good performance, decision tree classifier is adopted with the closed loop mode selection results as the target classification labels. The size of the decision tree is controlled by pruning, so the proposed method does not increase the memory requirement significantly. Through an evaluation test on a database covering both speech and music materials, the proposed method is found to achieve a much better mode selection accuracy compared with the open loop mode selection module in the AMR-WB+.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.6.1830/_p
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@ARTICLE{e91-d_6_1830,
author={Jong Kyu KIM, Nam Soo KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Improved Frame Mode Selection for AMR-WB+ Based on Decision Tree},
year={2008},
volume={E91-D},
number={6},
pages={1830-1833},
abstract={In this letter, we propose a coding mode selection method for the AMR-WB+ audio coder based on a decision tree. In order to reduce computation while maintaining good performance, decision tree classifier is adopted with the closed loop mode selection results as the target classification labels. The size of the decision tree is controlled by pruning, so the proposed method does not increase the memory requirement significantly. Through an evaluation test on a database covering both speech and music materials, the proposed method is found to achieve a much better mode selection accuracy compared with the open loop mode selection module in the AMR-WB+.},
keywords={},
doi={10.1093/ietisy/e91-d.6.1830},
ISSN={1745-1361},
month={June},}
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TY - JOUR
TI - Improved Frame Mode Selection for AMR-WB+ Based on Decision Tree
T2 - IEICE TRANSACTIONS on Information
SP - 1830
EP - 1833
AU - Jong Kyu KIM
AU - Nam Soo KIM
PY - 2008
DO - 10.1093/ietisy/e91-d.6.1830
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2008
AB - In this letter, we propose a coding mode selection method for the AMR-WB+ audio coder based on a decision tree. In order to reduce computation while maintaining good performance, decision tree classifier is adopted with the closed loop mode selection results as the target classification labels. The size of the decision tree is controlled by pruning, so the proposed method does not increase the memory requirement significantly. Through an evaluation test on a database covering both speech and music materials, the proposed method is found to achieve a much better mode selection accuracy compared with the open loop mode selection module in the AMR-WB+.
ER -