aidataservices.inAI data collection · India

Call-centre speech · TTS Voice Building

Call Centre Speech Data for TTS Voice Building

Simulated and consented real-world contact-centre audio in Indian languages, recorded over telephony-grade channels so it matches the bandwidth your production system actually sees. Applied to tts voice building, the specification is driven by one thing: mos naturalness.

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Contact centre agents generating call centre speech data — Call Centre Speech Data for TTS Voice Building
Service
Call-centre speech
Use case
TTS Voice Building
Primary metric
MOS naturalness
01

Required data profile

  • 10-40 hours from one speaker, or multi-speaker sets
  • Phonetically balanced scripts
  • Session-consistent acoustics
Call-centre speech — TTS Voice Building · written into the SOW before recordingChannel8 kHz narrowband telephony plus 48 kHz reference where requ…CodecG.711 / Opus simulated to match your stackStructureAgent and customer on separate channelsScenariosBilling, delivery, KYC, recharge, collections, support, sal…EmotionNeutral, frustrated and escalated variants on requestYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Channel8 kHz narrowband telephony plus 48 kHz reference where required
CodecG.711 / Opus simulated to match your stack
StructureAgent and customer on separate channels
ScenariosBilling, delivery, KYC, recharge, collections, support, sales
EmotionNeutral, frustrated and escalated variants on request
Diverse Indian speakers waiting for multilingual data collection sessions — supporting call centre speech data for tts voice building
Diverse Indian speakers waiting for multilingual data collection sessions
03

Process

  • Scenario library built from your call taxonomy
  • Agent-side speakers briefed on your script and tone
  • Recording over the specified codec path
  • Transcription with intent and outcome labels
  • Delivery with per-scenario counts
04

Metrics this feeds

  • MOS naturalness
  • Pronunciation accuracy on loanwords and names
  • Prosody stability across long utterances
05

Failure modes to design out

  • Session drift between recording days
  • Scripts that under-cover rare phonemes
  • Uncleared voice-talent licensing

Narrowband is simulated at capture time, not by downsampling clean studio audio, which would leave unrealistic artefacts.

06

Deliverables

  • Dual-channel call audio
  • Verbatim transcripts
  • Intent, outcome and sentiment labels
  • Scenario coverage matrix

Frequently asked

Is call-centre speech the right service for tts voice building?

It covers 10-40 hours from one speaker, or multi-speaker sets. Most tts voice building programmes combine it with at least one other service; we will say so in the scope rather than selling one line item.

What languages are available?

All 14 languages in the network plus Indian English accent bands.

How is the evaluation set handled?

Collected first, from speakers disjoint from the training cohort, so improvement is measurable.

Scope call-centre speech for tts voice building

Send the metric you need to move.

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