Infant cry analysis and detection

The document proposes an algorithm to automatically detect infant cries. The algorithm uses two main stages: feature extraction of pitch, MFC coefficients and energy from the signal, and signal classification using k-NN. The algorithm was tested on a baby cry database and shown to perform well, even in noisy environments like a vehicle with car horns and engines, meeting demands for real-time and low complexity detection.