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Implement AI Audio Software using Python

The linked scientific paper describes Hifi-Gan 2, an AI based tool able to denoise and de-reverberate an audio file:

[login to view URL]

The described tool takes in an audio file and transforms it into an audio that has an increased quality and sounds as it it was recorded in a recording studio.

The requirements:

- Implement software described in the paper using python and publicly available libraries.

- The usage of the software must be as simple as possible. As an input it should take a path to an audio file (wav). The output should be a .wav file that contains the same audio as the input file but cleaned up as described in the paper.

- It must be possible to run it on a local machine without internet access.

- It is expected that you provide everything required to run the software, including a trained model.

- The quality should be on the same level as the ones shown in the samples from the paper ([login to view URL])

- Delivery should include source code and all data required to run the software (including the trained model)

When evaluating I will:

- Look whether the paper was implemented as described

- Check whether I can reproduce the results

- Check whether the quality is comparable to the one in the samples from the paper

If you are interested please let me know and reply with a summary of the above requirements in your words. I will only consider offers that include such a summary.

Skills: Python, Software Architecture, C Programming, Machine Learning (ML), Coding

About the Client:
( 0 reviews ) Kuesnacht, Switzerland

Project ID: #33730503

Awarded to:

(38 Reviews)
5.6

28 freelancers are bidding on average $650 for this job

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