A method of training an audio monitoring system comprising: receiving with a processor in the audio monitoring system first registration information, wherein the first registration information is an identifier for objects that emit sound or a label for sounds that an object emits, for a first object in a first scene around a sound sensor in the audio monitoring system; training with the processor a first classifier for a first predetermined action of the first object in the first scene, the first predetermined action generating sound detected by the sound sensor; receiving with the processor second registration information, wherein the second registration information is an identifier for objects that emit sound or a label for sounds that an object emits, for a second object in the first scene around the sound sensor; training with the processor a second classifier for a second predetermined action of the second object in the first scene, the second predetermined action generating sound detected by the sound sensor; receiving with the processor object relationship data corresponding to a relationship between the first object and the second object in the first scene; generating with the processor a specific scene grammar including a first sound event formed with reference to a predetermined general scene grammar stored in the memory, the first registration information, the second registration information, and the object relationship data; and storing with the processor the specific scene grammar in the memory in association with the first classifier and the second classifier for identification of a subsequent occurrence of the first sound event including the first predetermined action of the first object and the second predetermined action of the second object. receiving with a processor in the audio monitoring system first registration information, wherein the first registration information is an identifier for objects that emit sound or a label for sounds that an object emits, for a first object in a first scene around a sound sensor in the audio monitoring system; training with the processor a first classifier for a first predetermined action of the first object in the first scene, the first predetermined action generating sound detected by the sound sensor; receiving with the processor second registration information, wherein the second registration information is an identifier for objects that emit sound or a label for sounds that an object emits, for a second object in the first scene around the sound sensor; training with the processor a second classifier for a second predetermined action of the second object in the first scene, the second predetermined action generating sound detected by the sound sensor; receiving with the processor object relationship data corresponding to a relationship between the first object and the second object in the first scene; generating with the processor a specific scene grammar including a first sound event formed with reference to a predetermined general scene grammar stored in the memory, the first registration information, the second registration information, and the object relationship data; and storing with the processor the specific scene grammar in the memory in association with the first classifier and the second classifier for identification of a subsequent occurrence of the first sound event including the first predetermined action of the first object and the second predetermined action of the second object.