Machine Listening

Machine listening intelligence

The relation between signals and symbols is a central problem for acoustic signal processing. Among different kind of signals, musical signals are specific examples in which there is some information regarding the underlying symbolic structure. While an impressive amount of research has been done in this domain in the past thirty years, the symbolic processing of acoustic and musical signals is...

Machine Listening : Interview with

Washington and Lee Law Review Online; Molly Jackman and Lauri Kanerva (Facebook) from June 14, 2016 Increasingly, companies are conducting research so that they can make informed decisions about what products to build and what features to change. These data-driven insights enable companies to make responsible decisions that will improve peoples’ experiences with their products. Importantly, com...

The Listening Machine: 1st Annual Report

In this first year of the project, our work was focused on the problem of identifying and separating specific sound sources in mixtures. The core of our approach is to use prior knowledge about the sounds in the world, encapsulated in some kind of model, to provide the constraints needed to solve the blind separation problem which is otherwise ill-posed. We have looked at using this approach in...

Nonparametric Bayesian Dictionary Learning for Machine Listening

Machine listening, i.e., giving machines the ability to extract useful information from the acoustic world in a manner similar to listeners, is a relatively undeveloped field that presents many interesting challenges. In the real world, sound rarely comes from a single source. For example, a piece of music may contain voices from the singers and accompaniments from different instruments, or a r...

Machine Listening: Sound organization for multimedia understanding