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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) classifying features in the AMR-WB + codec are selected and 2 novel classifying features, ie, EFM (Energy Flatness Measurement) and stdEFM (standard deviation of EFM) are proposed. Conclusion, 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.