Machine learning could automate screening kids for speech and language disorders
MIT researchers have developed a new method for automatically screening children for speech and language disorders using machine learning. This method can detect early signs of disorders by analyzing children’s speech patterns. The system uses recordings of children’s voices during speech tests to gather data for a machine learning system. By analyzing this data, the system identifies patterns that indicate normal development or speech and language disorders.
