Speech collection
Coordinate native speakers and recording tasks around your coverage requirements.
SERVICE 05 / AI SPEECH DATAAI SPEECH
AI SPEECH
DATA.
Build speech datasets around how people actually speak. Plan language coverage, speaker profiles, and recording conditions for your ASR, TTS, or voice-AI task.
THE WORK,
IN MORE DETAIL.
Scope and delivery requirements are agreed for each project. Use these tracks as a starting point.
Scenario-based dialogue
Record contextual exchanges that reflect the conversations your system needs to understand.
Audio segmentation
Organize longer recordings into usable segments with timestamps and speaker-turn boundaries.
Transcript alignment & review
Agree the transcription convention, metadata, and quality checks before delivery.
START WITH THE BRIEFContext makes
Context makes
the difference.
Share your languages and dialects, speaker profiles, recording environment, target hours, and output specification.
Discuss ai speech data ↗PLAN THE HANDOVERAgree the output.
Agree the output.
Then build toward it.
Set the format, review criteria, and delivery process before work begins.
Design speech collection around your model task.
Automatic speech recognition (ASR), text-to-speech (TTS) and conversational voice AI have different data requirements. Start with the task and coverage you need, then define recording and annotation requirements together.
Plan language and speaker coverage
Specify languages, dialects, speaker profiles and target recording hours. Describe whether you need scripted speech or scenario-based dialogue, and the intended recording conditions.
Define recording and metadata
Agree audio formats, recording tasks, file naming and the speaker metadata required for the dataset. Explain how sessions or recordings should be organized for delivery.
Agree transcript and segment rules
Set the transcription convention, timestamp format and speaker-turn boundaries. Confirm how transcripts will be aligned and reviewed against the recordings.
Examples of project briefs
Use these starting points to describe the work you have in mind.
- ASR collection brief: identify the languages, recording conditions and transcript conventions that reflect the speech your system needs to recognize.
- Dialogue dataset brief: describe the conversation scenarios, participant roles, language use and speaker-turn segmentation required for your voice-AI task.
AI speech data questions
Can a project include speech collection and transcription?
Yes. The service scope includes collection, scenario-based dialogue, segmentation and transcript alignment and review. Specify which stages you need and the expected deliverables for each.
Why specify dialects and recording conditions?
These details define the coverage of the dataset. They help distinguish the speakers and acoustic settings your brief needs, rather than treating every recording in a language as interchangeable.
What should an initial speech-data enquiry contain?
Share the model task, languages and dialects, speaker profiles, recording environment, target hours, audio format, transcript conventions and required metadata. Include sample specifications if available.
LET’S DEFINE YOUR PROJECT.
Share your languages and dialects, speaker profiles, recording environment, target hours, and output specification.