Acoustic Model
The component of a speech recognition system that represents the relationship between an audio signal and the phonetic units of speech.
An acoustic model is trained on vast datasets of audio recordings and their corresponding text transcripts to learn how different phonemes sound across thousands of voices, accents, and environments. Modern acoustic models are built using deep neural networks and transformer architecture. The strength of the acoustic model directly dictates the system's Word Error Rate (WER) and its ability to handle background noise. CoScript utilizes bleeding-edge acoustic models capable of isolating speech frequencies in complex, noisy environments.
Experience Acoustic Model with CoScript
CoScript processes all transcription natively on your desktop — no cloud audio storage, no meeting bots, no browser tabs. Try free today.
Try CoScript Free →Related Terms
Voice Recognition
AI technology that identifies and processes human speech patterns to understand spoken words.
Word Error Rate (WER)
The standard metric used to measure the accuracy of speech recognition systems.
Accent Adaptation
The ability of speech recognition systems to accurately transcribe speakers with diverse accents and dialects.