Abstract
Recently, using graphics processing unit (GPU) for accelarating applications is becoming very popular and particle filters are no exception. Tempo tracking is one of the basic problems in music processing. In this paper, we present an implementation of the bar pointer model with a particle filter on CUDA. We describe the algorithms used to implement the parallel particle filter. Then, in order to demonstrate the implementation, we create a simulated observation data and run the filter on it. We also give the running times of the application for different number of particles.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
