<p>Chinese culture has been traditional over the ages, and its legacy is to be known to the present generation using digital and newsprint media. One such digital platform is the audio and online voice-overs. However, tradition-based data is associated with confidential or unnecessary information that should be avoided in any media. To provide prompt information from the past, this article introduces a Fuzzy Interference System-based Cultural Information Transfer Method (FIS-CITM) through audio platforms. In this process, the available information is accumulated from different timelines. The accumulated information is filtered using its significance in society for distinguishable developments. The Fuzzy Interference system process improves the filtering based on known and unknown facts associated with the cultural data. The fuzzification over the different data clauses is identified through the audio information shared in the past. Therefore, the new fuzzy derivatives aim to improve the convergence across known facts over the unknown, reducing its significance. Therefore, this proposed method improves the information delivery and correctness across heterogeneous cultural data. The proposed method is exclusive for audio data over cloud-based mobile applications.</p>