AES E-Library

Application of AI techniques for Nonlinear control of loudspeakers

To obtain high loudness, with good bass extension, while keeping distortion low, and ensuring mechanical protection, the motion of the loudspeaker diaphragm needs to be controlled accurately. Actual solutions for nonlinear control of loudspeakers are complex and difficult to implement and tune. They are limited in accuracy due to physical models that do not completely capture the complexity of the loudspeaker. Furthermore, physical model parameters are difficult to estimate. We present here a novel approach that uses a Neural Network to directly map the diaphragm displacement to the input voltage, allowing us to “invert” the loudspeaker. This technique allows control and linearization of the loudspeaker without theoretical assumptions. It is also simpler to implement.

 

Author (s):
Affiliation: (See document for exact affiliation information.)
AES Convention: Paper Number:
Publication Date:
Session subject:
Permalink: https://aes2.org/publications/elibrary-page/?id=21499


(2873KB)


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 Join the AES. If you need to check your member status, login to the Member Portal.

Type:
E-Libary location:
16938
Choose your country of residence from this list:










Skip to content