Pyroomacoustics: A Python package for audio room simulations and array processing algorithms
This package addresses the need for efficient simulation tools in audio signal processing research and development, though it is incremental as it builds on existing methods.
The authors introduced pyroomacoustics, a Python package for simulating audio room environments and implementing array processing algorithms, which reduces implementation overhead to speed up algorithm development and testing.
We present pyroomacoustics, a software package aimed at the rapid development and testing of audio array processing algorithms. The content of the package can be divided into three main components: an intuitive Python object-oriented interface to quickly construct different simulation scenarios involving multiple sound sources and microphones in 2D and 3D rooms; a fast C implementation of the image source model for general polyhedral rooms to efficiently generate room impulse responses and simulate the propagation between sources and receivers; and finally, reference implementations of popular algorithms for beamforming, direction finding, and adaptive filtering. Together, they form a package with the potential to speed up the time to market of new algorithms by significantly reducing the implementation overhead in the performance evaluation step.