soundfingerprinting | Open source audio fingerprinting in .NET | Audio Utils library

My approach is to use something like the following projects:

Not very good idea, screaming is usually pretty stable sound while all those libraries search for irregularities in sound instead. They will not detect anything. It is better to use a simple DNN-LSTM classifier instead. You can train it with tensorflow or any other DNN framework. You can find a description of the algorithm here;

Deep Recurrent Neural Network-based Autoencoders for Acoustic Novelty Detection

or here:

Deep Neural Networks for Automatic Detection of Screams and Shouted Speech In Subway Trains

How would I be able to search for a similarity on the list of "screaming" fingerprints, is there any possible way to generate score or return % of similarity to each fingerprint so I can decide if the voice i'm testing is by % or have a screaming?

In your first library you can use queryResult.BestMatch.Confidence for example:

Confidence - returns a value between [0, 1]. A value below 0.15 is most probably a false positive. A value bigger than 0.15 is very likely to be an exact match. For good audio quality queries you can expect getting a confidence > 0.5.