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Improved Frame Mode Selection for AMR-WB+ Based on Decision Tree

Jong Kyu KIM, Nam Soo KIM

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Summary :

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+.

Publication
IEICE TRANSACTIONS on Information Vol.E91-D No.6 pp.1830-1833
Publication Date
2008/06/01
Publicized
Online ISSN
1745-1361
DOI
10.1093/ietisy/e91-d.6.1830
Type of Manuscript
LETTER
Category
Speech and Hearing

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