Conversational speech · Wake Word Detection
Conversational Speech Data for Wake Word Detection
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 wake word detection, the specification is driven by one thing: false accepts per hour.
- Service
- Conversational speech
- Use case
- Wake Word Detection
- Primary metric
- False accepts per hour
Required data profile
- Thousands of speakers, few utterances each
- Positive and hard-negative sets
- Multiple distances and noise conditions
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
- False accepts per hour
- False reject rate per accent band
- Performance at 3m and 5m
Failure modes to design out
- Positives only, with no hard negatives
- Close-mic-only capture
- No accent-band tagging, so failures cannot be localised
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 wake word detection?
It covers thousands of speakers, few utterances each. Most wake word detection 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 wake word detection
Send the metric you need to move.