Digital watermarking is a copyright protection technique that helps to identify the ownership of the data through a process of hiding digital data. Watermarking in 3D mesh models includes challenges like robustness against attacks and imperceptibility. Embedding Audio in 3D mesh model is used for protecting intellectual property rights and adhering the authenticity of the 3D models. A watermarking process using audio in 3D mesh models is proposed which embeds imperceptible audio watermarks into the mesh while protecting the visual quality of the model. 3D mesh models are pre-processed using Principal Component Analysis to attain normalized model vertices which helps in standardizing the data and improving the efficiency of subsequent watermark embedding. This pre-processed 3D mesh model is transformed into the discrete wavelet transform using Daubechies wavelets and an audio watermark is embedded into the transformed vertices of the 3D mesh model. The watermark is extracted from the watermarked model by performing the Inverse DWT and reconstruction of the audio file is performed to enhance the authentication process thus reducing the risk of false positives or negatives. The extracted watermark and original watermark are compared to assess the effectiveness of the proposed work by evaluating the robustness and imperceptibility. The proposed audio watermarking scheme was evaluated using metrics like PSNR and Hausdorff distance yielding approximately 43 dB and 3.75 × 10–5 respectively.