This project was conceived in the context of the construction of a system for the automated learning of the detection of respiratory insufficiency through the analysis of audio signal from the patients. This proposal aims to build pre-trained models and process audio processing in Portuguese, which will later be used for specific training, such as classes specification of the audio being delivered by a person who needs or who does not need hospitalization for respiratory failure. Pre-trained models have two phases. In a first phase a very large amount of data is used for non-training supervised; this phase is called pre-training. On the second phase, the model is training specifically for an application, with a much smaller amount of data; this phase is called training specific development. Pre-trained models have obtained good results in word processing; we intend to develop metrics that allow for checking the quality of pre-trained audio models.
News published in Agência FAPESP Newsletter about the scholarship: