1. A method for detecting a signature event associated with an audio feature, comprising: on an electronic device having one or more processors and memory storing one or more programs for execution by the one or more processors, automatically and without user intervention: obtaining from a remote server a classifier model that distinguishes an audio feature from a plurality of alternative features and ambient noises, wherein the classifier model is determined by the remote server according to a number of false positives generated by the classifier model, predefined capabilities of the electronic device and ambient sound characteristics of the electronic device, the predefined capabilities of the electronic device comprising one or more of computational capabilities, storage capabilities, and caching capabilities; obtaining audio data associated with an audio signal; splitting the audio data to a plurality of sound components each associated with a respective frequency or frequency band and including a series of time windows; statistically analyzing each of the plurality of sound components across the series of time windows; extracting a feature vector from the plurality of sound components based on the statistical analysis, the feature vector including a plurality of elements that are arranged according a predetermined order; classifying the extracted feature vector based on the classifier model to obtain a probability value indicating whether the audio signal includes the audio feature within the series of time windows; and detecting the signature event associated with the audio feature based on the probability value and issuing an alert indicating occurrence of the signature event.