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In surveillance, the audio signal of emergency event is required to have a high quality in order to reserve the event information as much as possible. In the surveillance heterogeneous networks, network bandwidth variation is large. We need a flexible and efficient audio compression coding scheme to adapt to bandwidth variation. For this requirement, we propose a scalable variable bit rate encoding method. Firstly, the attention value of each audio signal frame is calculated based on the audio attention model, thereby judging whether the frame of the audio signal contains attention events or not. If yes, a bandwidth extension enhancement layer and a signal-noise-ratio (SNR) scalable enhancement layer are introduced to enhance the quality of base layer encoded audio signal frame; if not, only the base layer is used to encode the audio signal. The final bit-stream contains the base layer bits for all frames and the enhancement layer bits for the audio signals which contain attention events. The test results show that the coding bit rate of proposed coding algorithm have an average increase of 5.92% for the test sequences. In the subjective audio quality tests, the audio coding quality improvement is about 1 score. The attention audio quality of the proposed scalable variable bit rate encoding scheme is improved, with the cost of increasing a few bits of side information, then saving storage space and transmission rate, and enhancing the adaptability of stream for bandwidth variation.

A Scalable Variable Bit Rate Audio Codec Based on Audio Attention Analysis