Introduction to Voice AI (TTS and STT)

Updated 

Sprinklr Voice AI is a self-serve setup experience in the Sprinklr platform that gives you full control over how voice interactions are generated and understood using Voice AI Text-to-Speech (TTS) and Speech-to-Text (STT). It is designed for contact center administrators, CX managers, and technical users who want to configure and optimize voice experiences without relying on internal support teams.

With Voice AI Configuration, you can directly define your TTS and STT pipelines—selecting providers, models, and processing rules. This significantly reduces setup time and enables faster iteration.

Selecting a voice or deploying a configuration are fully self-serve and typically completed within minutes to a few hours. You can choose from integrated providers, customize how text is spoken or transcribed, and test configurations in real time before deployment.

The feature supports leading Voice AI providers, allowing you to choose the best option for your use case based on accuracy, latency, language coverage, and cost.

  • TTS configurations apply to Voice AI Agents (voice bots) and IVR flows.
  • STT configurations apply to IVR flows and real-time conversations (RTS) between agents and customers.

Note: Voice AI Configuration is available only for new TTS and STT deployments created after 26.7 release. Existing deployments will continue to function as previously configured and are not automatically migrated.

Benefits of Using Voice AI (TTS and STT)

Faster Configuration and Deployment

  • Eliminate dependency on internal teams
  • Configure and deploy voice setups in minutes instead of days

Greater Flexibility and Control

  • Choose providers, models, and settings based on your needs
  • Bring your own provider credentials (BYOK)

Real-Time Testing and Optimization

  • Test configurations instantly before rollout
  • Fine-tune voice tone, speed, and transcription behavior

Multi-Provider Support

  • Select the best provider for specific use cases
  • Optimize for language, latency, or accuracy requirements

Common Use Cases for TTS and STT

Voice Bots and Automated Conversations (TTS + STT)

  • Power end-to-end conversational IVR systems
  • Enable bots to speak naturally (TTS) and understand user input (STT)

IVR Menu Navigation (TTS + STT)

  • Convert menu prompts into natural speech
  • Capture and interpret customer responses accurately

Real-Time Agent Assist (STT)

  • Transcribe live customer conversations
  • Enable real-time insights, suggestions, and compliance monitoring

Call Transcription and Analysis (STT)

  • Generate transcripts for quality assurance and analytics
  • Identify trends, sentiment, and key topics

Personalized Voice Experiences (TTS)

  • Customize tone, language, and voice style for different audiences
  • Support multilingual customer interactions

Accessibility Enhancements (TTS + STT)

  • Enable voice-based interactions for users who prefer or require them

  • Improve inclusivity across digital and voice channels

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