1. A method for processing an input window of an audio signal for speech recognition, the input window having a plurality of frames, the method comprising: extracting auditory attention features from each of the frames of the input window; extracting phone posteriors from each of the frames of the input window; generating combined boundary posteriors from a combination of the auditory attention features and the phone posteriors using machine learning by augmenting the extracted phone posteriors by feeding the phone posteriors of neighboring frames into a machine learning algorithm to generate phone posterior context information; estimating boundaries in speech contained in the audio signal from the combined boundary posteriors; and performing speech recognition using the estimated boundaries.