(December 16th, 2019, Mainz, Germany) – BOOM Library, producer of high-quality sound effects and audio tools, released their brand-new automated bird noise removal tool DeBird.
DeBird automatically recognizes bird noises in audio recordings and removes them with a single click. It works as a standalone application without a host DAW or NLE.

Conventional Removing Of Bird Noises

In a professional post-production workflow, where sound recordings must be absolutely clean and accurate, birdcalls can ruin entire sessions. As a result, audio professionals have to spend countless hours cleaning their recordings manually before they can focus on the creative process.

Removing Bird Noises with Machine Learning

Utilizing Deep Learning, DeBird identifies bird noises in a provided file and automatically cleans it within seconds. This non-destructive process keeps your source files unaltered. As a side effect, you can also solo out the bird sounds if desired. Keeping some of the sounds is possible as you can mark and exclude them from the removal process. Consequently, recording sessions do not have to be planned at night anymore or require any invasive methods such as scaring off birds.

The machine learning algorithm removes bird sounds without audible loss of the desired sound frequencies. It keeps learning on the job and will improve over time. To improve the neural network the guys at BOOM Library continuously feed the algorithm with recordings of birds. You can participate by sending them any files DeBird struggles with. More information about that can be found on the product page:

Prices and availability:

DeBird comes with an introductory discounted price of 159,20€ ($175.20) until December 19. The regular price is 199,00€ ($219.00). A 7 days free trial is also available.

Visit: to get your hands on the tool or test it 7 days for free.

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