Phonemes serve as the fundamental building blocks of words, akin to letters but not exactly the same. The process of audio segmentation involves dividing speech into overlapping time segments, which are then analyzed using techniques like Fourier transforms to identify their acoustic signatures. This method allows for matching segments against a database of known phonemes, facilitating accurate speech recognition.
