Conversational speech · Speaker Diarisation
Conversational Speech Data for Speaker Diarisation
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 speaker diarisation, the specification is driven by one thing: diarisation error rate.
- Service
- Conversational speech
- Use case
- Speaker Diarisation
- Primary metric
- Diarisation error rate
Required data profile
- Per-speaker isolated channels with a mixed reference
- Genuine overlap preserved
- Turn-level ground truth
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
- Diarisation error rate
- Overlap detection recall
- Speaker-count accuracy
Failure modes to design out
- Overlap edited out during recording
- Single-channel-only capture leaving no reliable ground truth
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 speaker diarisation?
It covers per-speaker isolated channels with a mixed reference. Most speaker diarisation 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 speaker diarisation
Send the metric you need to move.