A Sound-Retrieval Index Based on Two-Dimensional Similarity Maps
Treatment of timbre in computer music systems is an unsolved problem. A practical aspect is the organization of sound material in a sound data base. Our approach uses a connectionist model to transform multidimensional timbre on a two-dimensional similarity index for sounds. The authors propose an algorithm that simulates essential properties of the peripheral auditory system and realizes a self-organizing mapping of an input sound space to a representation of lower dimension.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is temporarily free for AES members.