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TTS & STT

Speech in and speech out for Indian experiences

Text-to-speech and speech-to-text building blocks for IVR, voice bots, transcription, and agent assist — with Indic language pathways and telephony-aware design.

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Speech-to-text and text-to-speech voice technology

The problem

Generic speech stacks struggle with Indian accents, Hinglish, and noisy telephony audio. IVR sounds foreign, transcripts miss meaning, and voice bots fail when callers switch languages.

Our approach

Use TTS/STT components that support Indic language experiences and pair with AI Voice Agent and CPaaS workflows. Design for real call audio — not only clean studio demos.

Audience fit

Who it is for

Built for teams that need faster conversations, cleaner follow-ups, and measurable outcomes — not another disconnected tool.

01

Ideal team

Teams building IVR and voice bots

02

Ideal team

Contact centers needing transcription

03

Ideal team

Product teams adding voice interfaces

04

Ideal team

AI voice programs needing speech foundations

Business impact

Outcomes you can expect

Clear results your team can feel in reply rates, recovery speed, conversation quality, and CRM follow-through.

01

Better Indian language fit

Speech pathways planned for Hindi and regional needs.

Relevant outcome
02

Reusable building blocks

Same STT/TTS layer can power IVR, bots, and analytics.

Relevant outcome
03

Agent assist potential

Transcripts unlock coaching, QA, and CRM note automation.

Relevant outcome
04

Telephony realism

Designed with call audio constraints in mind.

Relevant outcome

Capabilities in detail

Indic speech pathways

Support for Indian language voice experiences.

IVR enablement

Natural prompts beyond flat robotic menus.

Voice-bot foundations

STT/TTS paired with dialog logic.

Call transcription

Convert conversations into searchable text.

Agent assist patterns

Surface summaries and next-best actions.

AI Voice Agent pairing

Plug into broader Bharat Global voice programs.

Example workflows

IVR modernization

  1. 1Map current menus
  2. 2Rewrite prompts
  3. 3Configure TTS voices
  4. 4Test accents and barge-in
  5. 5Deploy with analytics

Ideal use cases

  • IVR prompts
  • Voice bots
  • Transcript analytics
  • QA sampling
  • Accessibility

Integrations

AI Voice AgentCPaaSContact center toolsCRM note systemsAnalytics warehouses

Industry fit

Related solutions

FAQs

Is TTS/STT only sold standalone?

It can be standalone or embedded inside AI voice and communication builds.

Will it work on real telephony audio?

Yes. Design accounts for noisy call audio and telephony constraints — not only clean studio demos.

Do you support call transcription for QA?

Yes. Transcripts unlock coaching, QA sampling, and searchable conversation review.

How does this pair with AI Voice Agent?

TTS/STT are foundational speech layers that AI voice programs plug into for listen and speak.

Is this useful for agent assist, not only bots?

Absolutely. Live or post-call transcripts surface summaries and next-best actions for human agents.

Can it handle Hinglish?

Language design and model choices are part of discovery; Hinglish handling is a first-class requirement for many Indian deployments.

Can TTS power IVR prompts in Hindi?

Yes. Indic speech pathways support more natural IVR and voice-bot prompts than flat robotic menus.

Can STT feed CRM notes automatically?

Yes. Summaries and key fields can flow into CRM note systems as part of agent-assist patterns.

Can regional languages be added later?

Often yes. Many teams start with Hindi/English and expand regional coverage as volume justifies it.

Do you help rewrite existing IVR menus?

Yes. Typical IVR modernization maps menus, rewrites prompts, configures voices, and tests barge-in before deploy.

Next step

Talk to us about TTS & STT Solution

Book a demo for AI Voice Agent, RingPilot Dialer, messaging, or CPaaS — built for Indian teams.