Acoustic modeling is a crucial component in automatic speech recognition systems, where it involves representing the relationship between linguistic units of speech and audio signals. It typically employs statistical models, like Hidden Markov Models or deep neural networks, to predict the probability of a sequence of sounds given a sequence of words.