基于倒谱分析的实时广播音频相似度快速比对算法 In order to solve the problem of inaccurate audio comparison caused by noise and delay in broadcast audio, an audio comparison algorithm with delay-adaptive-aware was proposed. To tackle the poor noise immunity of audio feature distance measurement in conventional algorithms, cepstrum was used to analyze the mixed signal of two audio to estimate delay adaptively and comparison, which has a strong ability to resolve equidistant frequency components in the power spectrum. Then, a method of short delay was proposed to obtain accurate similarity between two audios in different situations, which is added short delay in one of the audio. Afterwards, the optimal short delay was selected according to the effect of adding different short delay, so as to improve the performance of the algorithm further. Finally, the simulation experiments were conducted to evaluate the performance of the proposed algorithm, in which multiple audio clips of different broadcast programs were utilized under the condition of different SNR and additive white Gaussian noise. And the delay estimation results and audio similarity under different SNR are compared to verify the effectiveness of the algorithm. Experimental results show that the proposed algorithm outperforms existing algorithms and can achieve 90.36% audio comparison matching accuracy at a low SNR (2 dB), and the calculation speed can meet the requirement of real-time comparison.
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