Audio Signal Processing in Wavenumber Domain

Audio Signal Processing

Python For Audio Signal Processing

This paper discusses the use of Python for developing audio signal processing applications. Overviews of Python language, NumPy, SciPy and Matplotlib are given, which together form a powerful platform for scientific computing. We then show how SciPy was used to create two audio programming libraries, and describe ways that Python can be integrated with the SndObj library and Pure Data, two exis...

Frequency-wavenumber array processing

Most array signal processing systems u e delay-and-sum beamforming to estimate source bearings. This paper demonstrates the close relationship between beamforming and frequency-wavenumber spectrum analysis. The latter approach as computational dvantages over beamforming when the noise is spatially correlated. The wavenumber approach is used to'derive the array response of a general inear or pla...

Laboratory of Acoustics and Audio Signal Processing

Audio signal processing by neural networks

In this paper a review of architectures suitable for nonlinear real-time audio signal processing is presented. The computational and structural complexity of neural networks (NNs) represent in fact, the main drawbacks that can hinder many practical NNs multimedia applications. In particular e,cient neural architectures and their learning algorithm for real-time on-line audio processing are disc...