Esta es la versi贸n de autor del art铆culo publicado en: This is an author produced version of a paper published in: Abstract Scrambling is a process that has proved to be very effective in increasing the quality of data hiding, watermarking, and encryption applications. Cellular automata are used in diverse and numerous applications because of their ability to obtain complex global behavior from simple and localized rules. In this paper we apply cellular automata in the field of audio scrambling because of the potential it holds in achieving a high scrambling degree. We also analyze the effect of using different cellular automata types on audio scrambling and we test different cellular automata rules with different Lambda values. The relation between the robustness and the scrambling degree is also studied. Experimental results show that the proposed technique is robust to data loss attack and can be applied to different applications based on the scrambling degree required.