Call-centre speech · Speech Analytics
Call Centre Speech Data for Speech Analytics
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 speech analytics, the specification is driven by one thing: intent accuracy.

- Service
- Call-centre speech
- Use case
- Speech Analytics
- Primary metric
- Intent accuracy
Required data profile
- Domain-realistic conversation audio
- Intent, outcome and compliance labels
- Speaker-separated channels
Technical specification
| Parameter | Standard |
|---|---|
| Channel | 8 kHz narrowband telephony plus 48 kHz reference where required |
| Codec | G.711 / Opus simulated to match your stack |
| Structure | Agent and customer on separate channels |
| Scenarios | Billing, delivery, KYC, recharge, collections, support, sales |
| Emotion | Neutral, frustrated and escalated variants on request |

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
Metrics this feeds
- Intent accuracy
- Compliance-event recall
- Summary factuality
Failure modes to design out
- Labels defined without listening to real calls first
- Ignoring dialect coverage in the target market
Narrowband is simulated at capture time, not by downsampling clean studio audio, which would leave unrealistic artefacts.
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 speech analytics?
It covers domain-realistic conversation audio. Most speech analytics 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 speech analytics
Send the metric you need to move.