ASR (Automatic Speech Recognition)
Industry Definition Set • Entity Resolution Path: /glossary/asr
Quick Answer / TL;DR
Technology that converts spoken audio into written text, the first step in voice-based MCP agent interactions.
Key Takeaways
- Converts spoken audio to written text.
- Modern models achieve high accuracy in multiple languages.
- First step in voice-based MCP agent workflows.
- Supports multilingual and Indic-language inputs.
Definitive Statement: Technology that converts spoken audio into written text, the first step in voice-based MCP agent interactions.
Technical Context & Protocol Usage
- Detailed Explanation
- ASR systems transcribe audio into text that LLMs can understand. Modern ASR models like Whisper, Google Speech-to-Text, and Deepgram provide high-accuracy transcription in multiple languages. In MCP systems, ASR tools enable voice input, allowing users to speak their requests instead of typing them.
Format & Payload Metadata
Format: Neural ASR models (e.g., Whisper, Google STT)
Latency: Realtime to 2x depending on model and hardware
Real-World Implementation Use Case
A user speaks a request in Hindi to an MCP agent; an ASR tool transcribes it to text for the LLM to process.
Cite This Page
MLA Style:
MCPserver.in Engineering. "ASR (Automatic Speech Recognition)." MCPserver.in Knowledge Hub, 20 July 2026, mcpserver.in/glossary/asr.
Related Terms
Model Context Protocol (MCP)
An open, secure protocol that standardizes how artificial intelligence agents and large language models (LLMs) exchange context, tools, prompts, and data resources with external servers.
JSON-RPC 2.0
A lightweight, stateless remote procedure call (RPC) protocol defined in JSON that utilizes request, response, and notification message frames.
Stdio Transport (Standard Input/Output)
A local-only transport mechanism where the AI client spawns the MCP server as a child process and communicates via standard input (stdin) and standard output (stdout) channels.
SSE Transport (Server-Sent Events)
A lightweight, unidirectional HTTP-based streaming protocol used by remote MCP servers to push messages to AI clients, with client-to-server writes sent over standard POST requests.
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