Audio & Speech Annotation
Structured labels for speech and sound recordings, so models can understand what was said, who said it, and what else can be heard.
What we annotate
Common task types. Every project follows guidelines agreed with you at scoping.
Speech transcription
Accurate text of what is spoken, to your style guide.
Speaker labelling
Marking who is speaking and when, including overlapping speech.
Timestamping & segmentation
Aligning text and segments to exact times in the audio.
Sound event tagging
Labelling non-speech sounds such as alarms, machinery, or animals.
Intent & sentiment
Tagging the purpose and tone of spoken utterances.
Audio quality review
Flagging noise, clipping, silence, and unusable clips.
Used across industries
Where this service is most often applied.
AI Needs More Than Data.
Talk to our team about annotation programs, datasets, and enterprise AI infrastructure tailored to your domain.