A novel scheme for SVAC audio encoder
Ruo Shu, Shuyan Ding, Shibao Li, Jianhang Liu · 2014
In the audio encoder of Surveillance Video and Audio Coding (SVAC), both audio signals and MEL-frequency cepstral coefficients (MFCCs) are coded and this leads to high computational complexity. This paper proposes a novel scheme for SVAC in which speech coding module based on Algebraic Code Excited Linear Prediction (ACELP) is removed completely and speech waveforms can be reconstructed from MFCCs in decoding. The novel scheme greatly simplifies the structure of SVAC and also has a high performance for decoded speech signals in quality evaluation.