A Conceptual Model for real-time Binaural-Room Impulse Responses generation using ANNs in Virtual Environments: State of the Art
Abstract:
This work aims to give an overview of Artificial Neural Networks (ANN) approaches applied for BIRs generation published in the literature and to expose gaps in the academic research. The literature review shows that several successful studies are using ANNs approaches for BIRs generation with a reduction in the computational effort by up to 90% with respect to the Traditional Method. Nevertheless, these approaches are bounded by a fixed pair of a sound-source and binaural-receptor, meaning that they do not take into account dynamic variations in the position of the receptor. In this sense, this work also introduces a conceptual model for a real-time BIRs generator that considers a moving binaural-receptor using a set of Artificial Neural Networks.
Año de publicación:
2020
Keywords:
- Binaural-Room Impulse Responses
- artificial neural networks
- Acoustic Virtual Reality
- Real-time Auralization
Fuente:
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Simulación por computadora
- Red neuronal artificial
Áreas temáticas:
- Ciencias de la computación
- Ingeniería y operaciones afines
- Métodos informáticos especiales