Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
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Updated
May 7, 2024 - Python
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
A Python library aimed at acousticians.
This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
Official repository for "Speaking Style Conversion With Discrete Self-Supervised Units" (EMNLP 2023). https://arxiv.org/abs/2212.09730
ARL Python Tools
Official code for "Learning Neural Acoustic Fields" (NeurIPS 2022)
A Python interface to k-Wave GPU accelerated binaries
Room impulse response simulator using python
[Python3] Octave-Band and Fractional Octave-Band filter. For signal in time domain.
This is the official implementation of our mesh-based neural network (MESH2IR) to generate acoustic impulse responses (IRs) for indoor 3D scenes represented using a mesh.
The Simulation and Image Processing for Photoacoustic Imaging (SIMPA) toolkit.
Task 4 Large-scale weakly supervised sound event detection for smart cars
A new comprehensive and diverse few-shot acoustic classification benchmark.
NumPy/Python toolbox for sound field analysis
Using machine learning to detect beluga whale calls in hydrophone recordings
Language data store and linguistic query API
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
Classifying audio using Wavelet transform and deep learning
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