摘要
To solve the problems of the AMR-WB+(Extended Adaptive Multi-Rate-WideBand) semi-open-loop coding mode selection algorithm,features for ACELP(Algebraic Code Excited Linear Prediction) and TCX(Transform Coded eXcitation) classification are investigated.11 classifying features in the AMR-WB+ codec are selected and 2 novel classifying features,i.e.,EFM(Energy Flatness Measurement) and stdEFM(standard deviation of EFM),are proposed.Consequently,a novel semi-open-loop mode selection algorithm based on EFM and selected AMR-WB+ features is proposed.The results of classifying test and listening test show that the performance of the novel algorithm is much better than that of the AMR-WB+ semi-open-loop coding mode selection algorithm.
To solve the problems of the AMR-WB＋（Extended Adaptive Multi-Rate-WideBand） semi-open-loop coding mode selection algorithm,features for ACELP（Algebraic Code Excited Linear Prediction） and TCX（Transform Coded eXcitation） classification are investigated.11 classifying features in the AMR-WB＋ codec are selected and 2 novel classifying features,i.e.,EFM（Energy Flatness Measurement） and stdEFM（standard deviation of EFM）,are proposed.Consequently,a novel semi-open-loop mode selection algorithm based on EFM and selected AMR-WB＋ features is proposed.The results of classifying test and listening test show that the performance of the novel algorithm is much better than that of the AMR-WB＋ semi-open-loop coding mode selection algorithm.
