Call automation for data driven teams | FreJun

Text-to-Speech & Speech-to-Text

« Back to Glossary Index

Technologies that convert written text into spoken audio (Text-to-Speech) and spoken language into written text (Speech-to-Text), enabling seamless interaction between humans and machines.

Here’s a more detailed explanation:

What it is:
Text-to-Speech (TTS) and Speech-to-Text (STT) are AI-powered tools used in VoIP, virtual assistants, IVRs, and contact centers. TTS turns digital text into natural-sounding speech, while STT transcribes spoken words into text. These technologies enable voice automation, transcription, and accessibility features.

How it works:

  • Speech-to-Text (STT):
    A microphone captures spoken input, which is then analyzed using automatic speech recognition (ASR) models. These models identify words, punctuation, and speaker intent to produce an accurate transcript in real time or post-call.
  • Text-to-Speech (TTS):
    Input text is processed by a TTS engine, which uses linguistic and acoustic models to generate human-like voice output. This voice can be delivered over a VoIP system, IVR, or chatbot.

Benefits:

  • Automation: Enables self-service via voice bots, reducing agent load.
  • Accessibility: Assists users with hearing or vision impairments.
  • Transcription: Converts voice calls into searchable, analyzable text.
  • Real-time interaction: Powers voice-driven apps, assistants, and IVRs.
  • Multilingual support: Offers voice services in multiple languages and accents.

Key components:

  • ASR engine (for STT): Converts speech to text using machine learning.
  • TTS synthesizer: Generates voice from text with natural intonation and pacing.
  • VoIP integration: Routes spoken or transcribed content into voice systems.
  • Language models: Support different dialects, vocabulary, and context.
  • APIs: Enable integration into CRM systems, contact centers, or mobile apps.

Why it’s beneficial:
TTS and STT enhance customer engagement by enabling intuitive, voice-based interactions across platforms. They improve efficiency, support automation, and make communication more inclusive — whether it’s a smart IVR system or real-time call transcription for agent performance and compliance.