Audio Annotation Services

Speech recognition, voice assistants, and acoustic event detectors need meticulously labeled audio — not rough transcripts. Our audio annotation services cover transcription, diarization, phonetic tags, and sound classification with multi-pass review aimed at low word-error rates in production.

Audio labels that improve model accuracy

Misheard proper nouns and missed speaker changes break downstream NLU. Annotators follow pronunciation guides, mark overlaps, and tag non-speech events so your acoustic models learn robust representations.

Annotation types for audio ML

Full and verbatim transcription; speaker diarization and ID; phonetic and prosody labels; keyword spotting spans; environmental sound and alarm event tags; music vs speech segmentation.

Domains we annotate

Call center analytics, medical dictation, smart home voice commands, industrial machine monitoring, media subtitling corpora, and security audio event detection on edge devices.

Quality tuned to WER targets

Sample-batch WER measurement, glossary-driven review, and second-pass listening on flagged segments. Programs targeting sub-5% WER receive additional auditor layers.

Delivery for speech engineering

JSON, CSV, and platform-native time-aligned exports compatible with major ASR training frameworks and custom fine-tuning pipelines.

Get started

Get speech and audio datasets built for production inference. Share sample clips, language mix, and WER goals — we design annotation guidelines and staffing for your acoustic ML program.