What is Automatic Speech Recognition (ASR)?
Automatic Speech Recognition, or ASR, is the technical term for the system that converts audio speech into text. ASR and STT (Speech to Text) are often used interchangeably, though ASR more specifically refers to the underlying recognition engine and its models.
How Automatic Speech Recognition (ASR) works
ASR engines process audio through acoustic models (mapping sound to phonemes), language models (predicting likely word sequences), and pronunciation dictionaries. They output text with confidence scores for each word. Real time ASR for telephony must process audio fast enough to keep up with natural speech speed, typically within 200 to 300 milliseconds per utterance.
Why Automatic Speech Recognition (ASR) matters for enterprise
ASR performance in real world telephony conditions (background noise, poor mobile connections, accented speech) is the gating factor for voice AI deployment. Lab accuracy figures often overstate real world performance by 10 to 15 percentage points. Enterprises should test ASR on their actual call recordings, not demo audio.
How ARCA handles Automatic Speech Recognition (ASR)
ARCA's ASR is trained on Indian telephony audio across 22 languages, optimized for the 8kHz audio quality typical of Indian mobile and landline calls.
See how ARCA uses automatic speech recognition (asr) in practice.
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