Text classification: A preferred tool for audio file classification

This paper presents a general outline related to the numerical classification generalization applied to sound documents. The approach put forward combines concepts pertaining to natural language processing and frequency analysis. The raw data of the audio documents are converted into strings of alphanumerical characters that are well suited to numerical analysis. Thus, processing similar to that employed to classify text documents can be applied. Combining text and audio analyses makes it possible to generate a system that can categorize large corpuses of heterogeneous documents.