Speech Annotation Services for ASR, Diarization, and Conversational AI

Speech annotation is the labeling of audio to train and evaluate voice models. It can include segmentation, transcription alignment, speaker labels, and metadata about audio conditions. High-quality voice datasets require consistent guidelines and careful QA across languages and recording environments.

We label speech segments, speaker turns (diarization), transcripts and ASR alignment, phoneme and linguistic tags, intent and sentiment labels, and noise/condition metadata. We can support multilingual datasets and domain-specific taxonomies.

Use cases include automatic speech recognition (ASR), wake-word and command models, call center analytics, quality monitoring, and multilingual assistant training. We tailor labels to your model objectives and evaluation needs.

QA includes transcript checks, timing consistency review, diarization audits, and targeted rework for noisy or ambiguous audio. For sensitive recordings, we support secure workflows and GDPR-aligned processing, including EU-only annotation options where required.