Automatic Speech Recognition

Real-Time Speech Recognition

Built Into Your Voice Stack

Turn every spoken word into action with real-time transcription and intelligent
voice-driven interactions

Automatic Speech Recognition and Speech to Text

Enhance Customer Experience with Automatic Speech Recognition

Integrate Speech Recognition into your voice applications and unlock powerful user cases
and elevate customer engagement

Conversational IVR

Upgrade from traditional keypad inputs to intelligent, speech-enabled Interactive Voice Response (IVR) systems that let callers navigate menus and access services simply by using their voice.

Voice-Based Forms and Surveys

Allow users to fill out forms or answer survey questions using voice. Automated Speech Recognition captures and transcribes their responses into structured text inputs—automating lead qualification and data entry.

Voice Search and Navigation

Empower customers to explore your knowledge base using natural language voice queries—enhancing the self-service experience and reducing support load.

Call Transcription & Compliance Monitoring

Automatically transcribe voice calls for record keeping, quality assurance, and regulatory compliance—ideal for industries like finance, healthcare, and telecom.

How it Works

Using a simple command, the Speech Recognition API captures your users’ speech in real-time, transcribe it and return text

Speech Recognition

Everything You Need for AI-powered Voice Excellence

Enhance your apps with AI and Speech Recognition features—designed to drive clarity, efficiency, and exceptional customer interactions.

Inappropriate Content filtering

Profanity filter helps you detect inappropriate or unprofessional content in your audio data and filter out profane words in text results.

Voice Call Transcription

Convert spoken language into text with our advanced AI-based voice recognition for post processing analysis and record keeping

Text-to-Speech

Convert text to natural-sounding audio in a range of languages and voices to engage customers with a personalised touch

Noise Cancellation

Filter out background noise to ensure clear and accurate capture of a speaker’s voice

Extensive Language Support

Recognise speech across 100+ languages and dialects

Diarisation

Identify and distinguish between multiple speakers in a conversation.

More Features   

EnableX Difference

EnableX consolidate voice, video, messaging, AI and more on one unified platform that automates tasks, turns customer intelligence into actionable insights, creating personalised conversations that delights.

We streamline tech, cut out third-party APIs, and simplify complex system—so you get powerful AI-driven customer engagement solutions without the hassle of juggling multiple vendors and platforms.

At EnableX, video and voice are the core of everything we do – delivering seamless, realtime communication. We enhance this foundation with reliability, innovation, and cutting-edge technology to elevate every customer interaction.

AI affordable

Explore EnableX AI-powered Voice Solutions

AI-powered Voicebot

Upgrade your phone support with AI-driven, human-like voice engagement that scale

Voicebot

Voice Broadcasting

Reach your audience faster with Voice Broadcasting and TTS—automated, scalable voice messaging without the need for pre-recorded audio.

Campaigns Clouds

Voice API

Add personalised AI-enabled Voice communication into your web or app with easy-to-use APIs

Voice API

Frequent Ask Questions on Automatic Speech Recognition

1. What is Automatic Speech Recognition?

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Automatic Speech Recognition (ASR) is a technology that converts spoken language into written text. It uses advanced algorithms and machine learning models to recognise and transcribe human speech in real time. ASR is commonly used in voice assistants, customer service systems, and transcription tools to streamline communication and enhance accessibility.

2. How does ASR Work?

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EnableX’s Automatic Speech Recognition (ASR) operates by capturing spoken input during a voice call or video session and converting it into accurate text in real time. It works by Analysing audio signals, identifying speech patterns, and using machine learning models like DNNs or RNNs

3. What is the difference between ASR and Voice Recognition?

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Automatic Speech Recognition (ASR) and voice recognition are distinct technologies that serve different purposes. ASR focuses on what was said—it transcribes spoken language into written text, enabling systems to understand and process user input in real time. In contrast, voice recognition focuses on who is speaking—it identifies or verifies a speaker’s identity based on unique vocal characteristics.

4. What is the task of automatic speech recognition?

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EnableX Automatic Speech Recognition (ASR) converts spoken language into accurate text in real time, enabling applications to process and respond to human speech. This includes identifying speech patterns, adapting to various accents, and filtering background noise to ensure accurate transcription in both real-time and recorded scenarios.