A Neural Network for Synthesizing the Pitch of an Acoustic Source

Cohen, Michael A.Grossberg, StephenWyse, Lonce2011-11-142011-11-141992-02https://hdl.handle.net/2144/2089This article describes a neural network model capable of generating a spatial representation of the pitch of an acoustic source. Pitch is one of several auditory percepts used by humans to separate multiple sound sources in the environment from each other. The model provides a neural instantiation of a type of "harmonic sieve". It is capable of quantitatively simulating a large body of psychoacoustical data, including new data on octave shift perception.en-USCopyright 1992 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.A Neural Network for Synthesizing the Pitch of an Acoustic SourceTechnical ReportBoston University Trustees