Audio Annotation Services
LabelFort is both a self serve audio annotation tool and a fully managed annotation service. Use the platform directly for precise time segment labeling, verified speech to text transcription, and multi speaker diarization, or hand recordings to LabelFort's trained teams under the same governance. Human validators review every machine transcript, score agreement by cohort, and export the complete review history with the dataset.
Accurate on average isn't accurate enough
LabelFort combines ASR generated drafts with structured human validation, segment level correction, speaker attribution review, and enforcement of regulated terminology, so misattributed speakers or incorrect transcriptions never reach a downstream model undetected, whether the source is call center audio, clinical dictation, or a multi party meeting. Audio carries a quality risk text and image annotation don't, agreement has to cover segment boundaries, speaker labels, and transcription accuracy separately, so a dataset accurate on average can't hide a weak spot in any one dimension. Run it yourself as your audio annotation tool, or hand recordings to LabelFort's managed teams, the agreement scores, audit trail, and review history are identical either way, the governance lives in the pipeline, not in who's doing the review that day.
Speaker diarization services
Multi speaker diarization separates and labels each speaker in a recording, ensuring every segment is attributed and verified before delivery. Speaker count doesn't need to be fixed in advance, new speakers are added as they appear, and each one carries its own attribution history through export. Like every other part of LabelFort's audio annotation services, this process follows the same evidence standards, including cohort level agreement scoring and a complete audit trail.
Audio annotation capabilities
As an audio annotation tool, the platform covers:
Time Segment Labeling with Classes & Attributes
Each segment of audio gets a start time, an end time, and a class, a hold, a complaint, a specific sound event, with attributes attached the same way a configurable form works on any other modality. This is the foundation every other audio capability builds on, since transcription and diarization both need a segment boundary to attach to.
Speech to Text Transcription (AI Drafted, Human Verified)
An ASR model drafts the transcript first, then a human reviewer corrects it against written acceptance criteria before it counts toward the record, so a transcription error never reaches a downstream model just because the draft looked plausible.
Sound Event Segment Classification
Beyond speech, a segment can be classified by the sound event it contains, an alarm, background noise, a specific mechanical sound, scored under the same agreement standard as every other geometry LabelFort delivers.
Sentiment on Speech Segments
Tone is labeled at the segment level rather than for the recording as a whole, so a call that starts calm and escalates gets that shift captured accurately instead of averaged into one sentiment score for the entire interaction.
FAQs
Does LabelFort support diarization and speaker ID?
Yes, LabelFort provides multi speaker diarization with verifier checked speaker attribution, as well as sound event segment classification and sentiment labeling on speech segments.
How accurate are the transcripts?
ASR drafts are always validated by human reviewers against written acceptance criteria; agreement and correction rates are reported per cohort in the delivery reporting.
Is LabelFort an audio annotation tool or a managed service?
Both. LabelFort is an audio annotation tool you can run yourself, with role based workspaces and the same time segment and diarization tooling described above, and a managed service where LabelFort's own teams do the work under your constraints. Most regulated teams use a mix, self-serve for lower risk batches, managed for anything that needs domain trained reviewers.
Related services
Image Annotation
For vision-based models, this delivers enhanced precision and reliability, supported by comprehensive evidence documentation.
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Video Annotation
For dynamic events, this delivers better recall with continuity that holds across every frame.
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Text Annotation
We provide robust datasets to support stable and accurate language models.
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Ready to evaluate LabelFort against your regulator's checklist?
Begin with our one-hour Compliance Review to see how our audio annotation services align with your regulatory checklist. We develop evidence of grade proof of concept using your data & requirements. There are no open trials or hidden pricing.
Certifications & readiness
