Auscultatory test in medicine is a method for studying sound conductivity and sound perception in the ears and upper respiratory tract. It involves using gauges to measure the pressure of sound waves or vibrations in body cavities such as the ears, throat and lungs.
Auscultatory Dips is an acoustic model designed to improve the capabilities of artificial ears by simulating the human ear. These models are represented as neural networks that can model a number of functional aspects of ear audio components, including sound conduction, absorption, reflection, and frequency characteristics.
Artificial ears also provide a platform for simulated acoustic sampling testing. When the model is connected to the assessment environment, it can evaluate the results of auscultation tests performed on it. The results of these tests include the following aspects:
1. The volume of sounds with different frequencies, the distance from the listener’s head to a noisy object, acoustic obstacles and other environmental factors 2. The ability of the model to determine the boundaries between different frequency ranges of sounds 3. The behavior of the model when calculating reflected sound frequencies depending on changes in the physical properties of the environment 4. Adaptation of the model to various listening conditions, such as direct or muffled auditory perception, adaptive formulation, etc. 5. Customization of the model for other purposes,