What Is a Speech-to-Text (STT)?
A speech recognition technology that transcribes spoken audio into written text in real-time.
Speech-to-Text (STT), also known as Automatic Speech Recognition (ASR), is a technology that analyzes spoken language audio and translates it into written text. This is a critical component of voice AI, enabling systems to "read" what a human is saying on a phone call.
How STT Works
STT breaks down audio signals into phonemes, uses acoustic and language models to identify words, and outputs structured text. Modern neural network models achieve high accuracy in milliseconds.
Accuracy Challenges
Background noise, accents, dial dialects, and low telephone audio quality (narrowband 8kHz) require specialized speech recognition models trained specifically on telephony data.
Business Applications
STT powers call transcription, live routing, voicemail text logs, and real-time inputs for Large Language Models on phone support lines.
How CallClerk Fits In
CallClerk utilizes high-performance, low-latency Speech-to-Text to transcribe calls in under 150ms, allowing our AI to formulate responses almost instantly.
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