Conversational speech · IVR & Voice Bots
Conversational Speech Data for IVR & Voice Bots
Natural two-party and multi-party conversation recorded with separate channels per speaker, covering the overlaps, interruptions and turn-taking that scripted data never produces. Applied to ivr & voice bots, the specification is driven by one thing: intent accuracy.

- Service
- Conversational speech
- Use case
- IVR & Voice Bots
- Primary metric
- Intent accuracy
Required data profile
- Telephony-bandwidth audio
- Dual-channel calls
- Intent-labelled utterances against a live taxonomy
Technical specification
| Parameter | Standard |
|---|---|
| Channels | One channel per speaker, time-aligned |
| Duration | 15-60 minutes per conversation |
| Topics | Scenario cards, free topics, or your domain scripts |
| Overlap | Preserved and tagged, never edited out |
| Metadata | Relationship between speakers, familiarity, topic, setting |

Process
- Scenario design so conversations stay on-domain without becoming scripted
- Speaker pairing by familiarity level as specified
- Multi-channel recording with per-speaker isolation
- Diarisation-ready packaging
- Verbatim transcription with speaker turns and overlap tags
Metrics this feeds
- Intent accuracy
- Containment rate
- Barge-in handling
Failure modes to design out
- Studio audio downsampled to fake telephony
- Scripted callers who never interrupt
- Intent sets written by product, not derived from real calls
Conversations are checked for naturalness, not just audio quality. Sessions that drift into reading are rejected.
Deliverables
- Per-speaker channels plus mixed reference
- Turn-level transcripts
- Overlap and backchannel tags
- Conversation metadata
Frequently asked
Is conversational speech the right service for ivr & voice bots?
It covers telephony-bandwidth audio. Most ivr & voice bots 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 conversational speech for ivr & voice bots
Send the metric you need to move.