Method and system for classifying an acoustic environment

A method for acoustic environment classification using a classifier trained to, given an input formed of a sequence of n sets of acoustic features, output a prediction of an acoustic environment of an audio signal, the method comprising:

• extracting sets of acoustic features from the audio signal, wherein each set of acoustic features comprises one or more types of acoustic features and is extracted from a respective time segment of a sequence of time segments of the audio signal;
• forming an input sequence of n sets of acoustic features, wherein forming the input sequence comprises:
• defining a base sequence of k of the extracted sets of acoustic features,
• defining an auxiliary sequence of d sets of acoustic features formed by one or more further instances of one or more of the k sets of acoustic features of the base sequence, wherein k<n and d=n−k, and
• combining the base sequence and the auxiliary sequence to form the input sequence of n sets of acoustic features;
• and
• generating by the classifier a prediction of the acoustic environment using the n sets of acoustic features of the input sequence as input.