1. A method for extracting a term comprising at least one word from an audio signal captured in a call center environment, comprising: receiving the audio signal captured in an environment; extracting a multiplicity of vectors of spectrum-based features from the audio signal, wherein the spectrum-based features comprise at least any one of Mel Frequency Cepstral Coefficients (MFCC), Delta Cepstral Mel Frequency Coefficients (DMFCC), or spectral energy transform; creating a phoneme lattice from the multiplicity of feature vectors, the phoneme lattice comprising at least one allophone, the at least one allophone comprising at least two phonemes and determined as most probable and correspondingly assigned a probability score; creating a hybrid phoneme-word lattice from the phoneme lattice by utilizing a speech model and a non-speech model that were created from the audio signal captured in the call center environment; and extracting the word by analyzing the hybrid phoneme-word lattice.