Human Audio Annotation & Labeling Services
Power your voice AI with human‑made audio labels - from timestamped transcription (segment‑ and word‑level) to speaker diarization, emotion & sentiment analysis, intent classification, audio segmentation, and non‑speech sound events. We deliver in your schema (JSON, JSONL, RTTM, CSV) with multi‑pass QA and enterprise‑grade security. Start with a free pilot and scale from a POC to thousands of hours.
Human-in-the-loop labeling that mirrors your schema
GoTranscript’s human audio annotation services implement your style guide, taxonomy, and decision rules exactly - training editors on your label definitions, examples, edge cases, and escalation paths.
Multilingual Audio Annotation
Scale speech data annotation across languages and dialects for voice assistants, automotive voice, eLearning, media, and contact‑center use cases - with native‑speaker editors and dialect notes to reduce error rates.
Sentiment, Emotion & Intent Annotation
Enrich transcripts with emotion tags, sentiment by utterance, intent/dialog acts (ask, confirm, escalate), and nuance such as sarcasm or hedging to improve NLU and voice assistant performance.
Custom Schemas, Clean Exports
We adapt to your label ontology and return schema‑compliant outputs (JSON/JSONL/RTTM/CSV) with clear IDs, spans, timestamps, and confidence fields. Ready to plug into your training, evaluation, or analytics pipeline
Sound Event Detection & Noise Classification
Human annotators mark overlaps/interruptions, fillers/disfluencies, laughter/sighs/coughs, silence gaps, and background noise for better audio classification and robust ASR in real‑world environments.
quality management system
Precisa is GoTranscript’s quality management system that powers both human‑made transcription and human audio annotation/labeling. Built on elite talent, a double‑pass review, and transparent measurement (WER for transcripts; IAA/F1 for labels), Precisa delivers consistent, audit‑ready outcomes for ASR training data, speaker diarization, intent & emotion tagging, and sound event detection - at scale.
Can’t find exactly what you need?
We tailor the workflow to your brief. Custom schemas, labels, and review steps and iterate quickly through a pilot until it’s spot on. Delivery matches your JSON format and metadata, with a dedicated editorial lead, clear SLAs, and enterprise-grade security.
Use Cases
Human labels mark agent/customer turns, sentiment, intent, escalation, outcomes, and compliance phrases. Diarization and timestamps train scoring, coach agents, and fine‑tune LLM voice agents to cut AHT and lift CSAT.
Annotate intents, slots, dialog acts, tone, disfluencies, and barge‑in events across multi‑turn conversations. Human‑verified labels improve NLU accuracy, response selection, and guardrails for enterprise voicebots and assistant experiences.
Diarize speakers, segment topics, and label action items, objections, and next steps. Clean outputs drive dependable meeting notes, CRM updates, and coaching insights for sales, success, recruiting, and internal discussions.
Human reviewers tag hate, harassment, self‑harm, sexual content, and threats with severity and context. Multilingual coverage trains safer real‑time moderation for social audio, gaming voice chat, and live streaming.
Word‑ and segment‑level transcripts with precise timestamps, diarization, and noise tags create robust training and evaluation sets. Measure WER and DER by language, accent, and environment to guide model fine‑tuning.
Human experts transcribe and label medical terminology, symptoms, medications, orders, and context. PHI redaction and QA deliver HIPAA‑ready datasets for ambient clinical scribing, dictation, and voice‑enabled EHR workflows.
Annotate commands, wake‑words, intents, and acoustic events like sirens, horns, and road noise. Multilingual diarization and timestamps help tune embedded, offline voice interfaces used in cars, trucks, and navigation systems.
Create chapter markers, speaker labels, profanity flags, and topical tags for discovery, ads, and compliance. Structured metadata and timestamps power precise search, clipping, and recommendations across large audio libraries.
Run high-volume, multi-language projects with human-in-the-loop labeling, multi-pass QA, and audit-ready outputs (JSON/JSONL/RTTM/CSV). We align to your guidelines, onboard fast with a calibration round, and deliver under clear SLAs.
We’re Ready to Help
Call or Book a Meeting Now
Verified Order
Verified Order
Verified Order
Verified Order
