Bird Sound Recognition Project

Currently our company is dealing with bird sound data sources which needs an AI model to do the following tasks: 1. Pre-processing .wav files containing bird sounds and other nature sounds into datasets for classification training (we would like to know how and what are the strategy you will use in process the datasets for training and classification, i.e. the frequency when cleaning, length of period slicing for training [0.5s, 1s, 1.5s, 5s, 10s, etc interval files], application for update of new datasource) 2. Training models for the datasets through deep learning (which updates when introducing new bird sound data sources, have at least efficiency of at least 75%, easy to understand for us to maintain and tweak) 3. The objective of this project is simply to help us train an AI model when we have a bird sound data source which we can pass through a model that can identify sufficiently the type of bird that is making the bird sound from the data source, which can self-improve through addition of more bird sound data source. In the files, we include 1. Our current code model (we have an independent source code but due to intellectual property problems we cant share it at the moment) 2. a test file of data source (cause of 25MB limit I include the download link [login to view URL]) 3. the test file label file p/s If you have any inquiries about the project please let us know through chat and we will get through you asap.