An Acoustic Model is a machine learning model that converts speech sounds into phonetic representations for Automatic Speech Recognition (ASR). It helps recognize spoken words by learning patterns from audio signals.
Acoustic Models are a core component of the ASR pipeline. They convert incoming speech into phonemes before language models determine the final transcription. Better models improve speech recognition across Voice AI applications.