Acoustic Models

Acoustic models are components of speech recognition systems that interpret raw audio signals. They analyze the sound waves to identify phonemes—the distinct units of sound in language—by learning patterns associated with different sounds. Essentially, they translate the complex, fluctuating audio signals into recognizable language units, enabling computers to understand spoken words. These models are trained on large datasets of recorded speech to improve their accuracy. In short, acoustic models serve as the system’s "ears," converting sound into meaningful linguistic elements for further processing.