Conversation audio
Natural spoken interactions, with language, acoustic conditions, and speaker separation assessed against the task.
01 / Voice & conversation data
Speech data for models that need to follow a conversation, respond naturally, and understand what happened next.
Discuss your requirementThe data in context
Pauses, interruptions, speaker changes, and the result of an interaction can matter as much as the words. We work from your model’s learning need to define which signals a dataset should retain.
Examples of data requirements we can scope with you. The final specification follows source and permissions review.
Natural spoken interactions, with language, acoustic conditions, and speaker separation assessed against the task.
Time-aligned text, speaker labels, intent, and relevant interaction metadata, where available and permitted.
Resolution, escalation, and other recorded outcomes that can make an interaction useful for training or evaluation.
Scoping a dataset
Language coverage, volume, linked fields, and licensing scope are established through source review. Contact-centre possession alone does not establish authority to license a recording.
Before we begin
We start with a defined requirement and assess relevant sources. The fields shown here describe what a useful dataset may contain, rather than a promise of inventory or a fixed volume.
Where source systems retain the linkage and the proposed use is permitted, outcomes can form part of the scope. We first establish what was recorded and what can be retained after preparation.
The source, relevant contractual obligations, participant permissions, and proposed use need review. Preparation and access controls are defined for the agreed scope before delivery.
For institutions & data holders
Start with a description of the records and who has authority to approve their use.
Start a conversation
Tell us about your task, the conversations you need, and how you will evaluate fit.