EngineeringGlossary

Speech-to-Text (STT)

Speech-to-text (STT), also called Automatic Speech Recognition (ASR), is software that converts spoken audio into written text: the listening layer of every voice AI agent.

Three things to remember

  • STT is what lets a voice agent hear. Streaming STT emits partial transcripts within ~200ms, allowing the agent to start thinking before the customer finishes.
  • The 3 things that matter: latency (streaming, low TTFT), accuracy on accents (especially Indian English, Hinglish, Arabic-English), and consistency on numbers and proper nouns.
  • EnableX supports premium cloud STT (default), bring-your-own STT, and on-device STT for on-prem and sovereign-data deployments.

The detailed explanation

STT (also called ASR, Automatic Speech Recognition) is the layer that turns the customer's audio into text the agent can act on. It runs in two modes: streaming (emits partial transcripts as the customer speaks, so the agent can start thinking early, required for low latency) and batch (waits for the customer to finish, then transcribes, used for recording analysis).

For voice agents, streaming is non-negotiable. With batch STT, the agent can't respond until the customer finishes their sentence, then the model still has to transcribe, adding 1-2 seconds of dead air. With streaming STT, the agent has the partial transcript before the customer is done, can pre-fetch CRM data, and can respond within ~500ms of the customer stopping.

The accuracy challenge: accents. A US-trained STT model performs poorly on Indian English, on Hinglish code-switching, on Arabic-English mix, on accented Bahasa. EnableX STT is tuned for non-US accents and supports per-language streaming for Hindi, Tamil, Telugu, Marathi, Bengali, Kannada, Malayalam, Gujarati, Punjabi, Odia, Assamese, Urdu, Arabic, Bahasa, Tagalog plus 80+ more.

How EnableX implements Speech-to-Text (STT / ASR)

EnableX Voice AI ships with premium streaming STT (≤ 200ms partial transcripts, tuned for non-US accents) and supports bring-your-own STT: Whisper, Google, Azure, or any engine wired via WebSocket media streaming or Pipecat. On-device STT available for on-premise / sovereign-data deployments. Hindi, Tamil, Telugu, Marathi, Bengali, Kannada, Malayalam, Gujarati, Punjabi, Odia, Assamese, Urdu, Hinglish code-switching, Arabic, Bahasa, Tagalog all supported.

Related glossary terms

Text-to-Speech (TTS)

Text-to-speech (TTS) is software that converts written text into spoken audio.

Text-to-Speech (TTS) →

AI Voice Agent

An AI voice agent is software that holds a real-time spoken conversation with a customer over the phone or any voice channel.

AI Voice Agent →

Voice Bot

A voice bot is an AI-powered telephone agent that talks to customers in natural language, replacing or supplementing the press-1 IVR.

Voice Bot →

Voice Activity Detection (VAD)

Voice Activity Detection (VAD) is software that detects when someone is speaking versus silent.

Voice Activity Detection (VAD) →

Conversational AI

Conversational AI is software that simulates natural conversation through text or voice.

Conversational AI →

FAQ — Speech-to-Text (STT / ASR)

They are the same thing. STT (Speech-to-Text) and ASR (Automatic Speech Recognition) are interchangeable terms: STT is more common in product/UX contexts, ASR is more common in academic/engineering contexts.

They let the voice agent start thinking before the customer finishes speaking. Without streaming, every customer turn adds 1-2 sec of dead air while the model transcribes. With streaming, perceived latency drops below 500ms.

Yes. EnableX STT is trained on Hinglish and similar code-switching patterns (Tanglish, Banglish, Arabic-English). Most US-only STT models drop accuracy 30-40% on code-switched audio; EnableX maintains parity with monolingual.

Yes. EnableX supports on-device STT (no audio leaves your data centre) for BFSI, government, and healthcare deployments under DPDPA, RBI, NDMO, or HIPAA-grade rules.

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