The disclosure relates to a system for sensing and recognizing acoustic and/or vibrational anomalies. The system comprises: a unit using optical fiber for the distributed acoustic and/or vibrational sensing of at least one acoustic and/or vibrational anomaly and for generating an alarm signal representative of the sensing of such at least one anomaly; one or more acoustic-electric transducers to sense one or more ambient audio signals associated with the at least one acoustic and/or vibrational anomaly and to convert such ambient audio signals into electrical signals; an audio classifier module configured to classify the electrical signals generated based on at least one algorithm for data analysis and machine learning of information from the data, to generate a classification signal; a correlator module configured to receive the alarm signal and the classification signal and to compare such signals to generate a qualified alarm signal.