Speech Data Collection Services for AI Training

Yes. Speech collection, validation, transcription, and annotation can be handled as a connected workflow, keeping the technical requirements and metadata structure consistent throughout the process. Our 1,100+ labelers and specialists can support speech and audio annotation tasks such as transcription, speaker identification, segmentation, language labeling, sentiment, and other task-specific labels. Annotation guidelines and quality checks are defined according to the requirements of the task.

Before a collection project starts, we define the applicable lawful basis or source authorization, participant notices and consent requirements, permitted uses, retention period, and data-transfer conditions. Personal information is minimized and can be pseudonymized or anonymized where appropriate. For speech collections, requirements may also cover voice data, speaker metadata, transcripts, and information contained within conversations or recordings. The specific safeguards depend on the type of speech data, the regions involved, and how the client intends to use the resulting dataset for AI, language processing, or recognition models.

Yes. We support multilingual speech data collection covering different languages, dialects, accents, and geographic regions, subject to speaker availability and applicable legal requirements. The project specification can define language quotas, speaker profiles, demographic targets, recording environments, devices, and reviewer qualifications. Native or appropriately qualified speakers and reviewers can be involved when language expertise is required.

Quality is managed before, during, and after the speech data collection process. Before production, we validate the specification and pilot; during collection, we monitor audio quality, recording conditions, task completion, speaker and language quotas, metadata, and other technical requirements. Automated checks and human review can be applied to identify incomplete recordings, excessive noise, technical problems, or inconsistent data. Speech samples that fail the agreed acceptance criteria can be corrected, re-recorded, or excluded according to predefined rework rules.

The timeline depends on the amount of speech data required, number of speakers and languages, recruitment needs, geographic coverage, recording environment, equipment, transcription and annotation requirements, validation procedures, and client review cycles. After assessing feasibility, we provide a project plan covering the pilot, speaker recruitment, production ramp-up, expected collection capacity, quality checks, transcription or annotation stages, and final delivery.