Results for tag: "Computational Auditory Scene Analysis"

Computational Auditory Scene Analysis (CASA) is a field of electrical engineering that focuses on the analysis of sound scenes. It is a sub-discipline of signal processing and machine learning, and is used to identify and classify sound sources in a given environment. CASA systems are used in a variety of applications, such as speech recognition, sound source localization, and sound event detection. CASA systems are typically composed of a microphone array, a signal processing unit, and a machine learning algorithm. The microphone array captures the sound scene, and the signal processing unit extracts features from the sound scene. The machine learning algorithm then uses these features to identify and classify sound sources. CASA systems are used in a variety of industries, such as automotive, consumer electronics, and healthcare. They are also used in research and development, as well as in military and security applications. Some companies in the CASA market include Microsoft, Google, Apple, IBM, Qualcomm, and Bose. Show Less Read more