AI based acoustic signal processing and analysis and its applications

Artificial intelligence (AI) provides powerful tools to many acoustic related applications. This proposal aims at acoustic signal processing and analysis and its applications using AI technologies. In order for AI to make progress in understanding the acoustic world around us, it needs to be interpreted along with multimodal messages. Three subprojects, i.e., multi-modal acoustic scene recognition, audio-visual speech recognition and audio signal processing for healthcare purpose using deep learning techniques are included in this proposal. The project is expected to enhance the AI capabilities of the partner organization for its 5G applications in acoustic related application scenarios.

Faculty Supervisor:

Xiao-Ping Zhang

Student:

Bo Wu

Partner:

Huawei Canada

Discipline:

Engineering - biomedical

Sector:

Professional, scientific and technical services

University:

Ryerson University