7 Components & Libraries
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You can use multiple dimensional feature combinations, select different deep learning networks training, study various tasks in the audio field such as Classification, Separation, MIR etc. In the tim…
We don't want data augmentation to be a bottleneck in model training speed. Here is a comparison of the time it takes to run 1D convolution: torch-audiomentations is in an early development stage, so…
Clean and understandable code, nice API, and good UX (user experience) are the focal points of audio-metadata. One or more of these things I feel are lacking from already existing alternatives enough…
If you use this code or part of it, please cite us! Feb, 16 2019: Even though the code can be easily adapted to any speech dataset, in the following part of the documentation we provide an example ba…
The main goals for Jamaisvu over Dejavu is: Tested only on MacOS and Ubuntu 16.04 What dependencies you will need to run Jamaisvu: Ensure that you have a MySQL Database instance setup and running on …
Portable: runs on Python 2.7+ and Python 3 and does not depend on any third-party packages. Supported PCM input file formats: 8-bit signed AIFF 8-bit unsigned WAV 16-bit signed WAV and AIFF 32-bit si…
Works with any PLY file with 'x, y, z, nx, ny, nz, red, green, blue' vertex values. Vertex normals and colors are optional. Filter current point cloud, all changes are only temporary, original data a…
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