ABSTRACT
This chapter explains comparison of the various machine learning techniques for the classification of emergency vehicle detection. In the method of machine learning, we use the feature as the input layer and based on the requirement we add hidden layers. Sire detection is the process of identifying the presence of an emergency vehicle on the roads by the siren sound it produces using audio processing. The issue of the siren detection has been assaulted with a procedure chipping away at various levels. The chapter discusses the basic siren detection using the pitch detection method. Pitch is the basic fundamental frequency of the sound or audio signal. Emergency signals all in all have an occasional example which rehashes over a brief length of time. Moreover, they additionally have a place with particular frequency groups which loans them the high pitch sound that they are typically connected with.
