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In this paper, we present a novel algorithm for secure audio watermarking in image using BCH coding based on wavelet transform. In this context, the security is quantified from an information-theoretic point of view via the equivocation about the secret parameters. Firstly, the equivocation is estimated by means of tools from information theory for WOA scenario. Then, the audio watermark encoded by the BCH technique is embedded in the wavelet coefficients. The technique takes the promotes of error correcting coding to decreased the bit error rate (BER) of the extracted watermark. This algorithm improves the security via using BCH coding and security keys. The performance of the proposed watermarking method is analytically investigated and verified via several simulations. Experimental works have demonstrated that the watermark generated by the proposed technique is more secure in comparison with non BCH coding scheme and Golay coding scheme. The extracted watermark quality is shown by considering normalized correlation (NC) value between the original audio watermark and extracted watermark.