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On Binaural Spatialization And The Use Of Gpgpu For Audio Processing, Davide Andrea Mauro Phd
On Binaural Spatialization And The Use Of Gpgpu For Audio Processing, Davide Andrea Mauro Phd
Davide Andrea Mauro
3D recordings and audio, namely techniques that aim to create the perception of sound sources placed anywhere in 3 dimensional space, are becoming an interesting resource for composers, live performances and augmented reality. This thesis focuses on binaural spatialization techniques. We will tackle the problem from three different perspectives. The first one is related to the implementation of an engine for audio convolution, this is a real implementation problem where we will confront with a number of already available systems trying to achieve better results in terms of performances. General Purpose computing on Graphic Processing Units (GPGPU) is a promising …
On Binaural Spatialization And The Use Of Gpgpu For Audio Processing, Davide Andrea Mauro Phd
On Binaural Spatialization And The Use Of Gpgpu For Audio Processing, Davide Andrea Mauro Phd
Davide Andrea Mauro
3D recordings and audio, namely techniques that aim to create the perception of sound sources placed anywhere in 3 dimensional space, are becoming an interesting resource for composers, live performances and augmented reality. This thesis focuses on binaural spatialization techniques.
We will tackle the problem from three different perspectives. The first one is related to the implementation of an engine for audio convolution, this is a real implementation problem where we will confront with a number of already available systems trying to achieve better results in terms of performances. General Purpose computing on Graphic Processing Units (GPGPU) is a promising …
Audio Convolution By The Mean Of Gpu: Cuda And Opencl Implementations, Davide Andrea Mauro
Audio Convolution By The Mean Of Gpu: Cuda And Opencl Implementations, Davide Andrea Mauro
Davide Andrea Mauro
This paper focuses on the use of GPGPU (General-Purpose computing on Graphics Processing Units) for audio processing. This is a promising approach to problems where a high parallelization of tasks is desirable. Within the context of binaural spatialization we will develop a convolution engine having in mind both offline and real-time scenarios, and the support for multiple sound sources. Details on implementations and strategies used with both dominant technologies, namely CUDA and OpenCL, will be presented highlighting both advantages and issues. Comparisons between this approach and typical CPU implementations will be presented as well as between frequency (FFT) and time-domain …