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Power Your AI Models with Human-Made Labels

Human Audio Annotation & Labeling Services

140+ Languages
Boost AI training with human-verified audio labels - diarization, word/segment timestamps, rich conversation tags, and much more. Multi-pass QA, enterprise-grade security, and scalable from pilot to large-scale datasets.
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Human Audio Annotation & Labeling Services

Human‑in‑the‑Loop Speech Data Annotation for AI/ML

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.

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Human-in-the-loop labeling that mirrors your schema

Custom Audio Annotation to Your Guidelines

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.

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Multilingual Audio Annotation

140+ Languages

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.

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Sentiment, Emotion & Intent Annotation

Utterance‑Level Tags for Conversational AI

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.

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Custom Schemas, Clean Exports

JSON, JSONL, RTTM, or Your API Format

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

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Sound Event Detection & Noise Classification

Acoustic Event & Non‑Speech Sound Labeling

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.

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Human Quality for Transcription & Audio Annotation

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.

Precisa QMS PDF
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Can’t find exactly what you need?

Always Ready to Adapt

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.

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Maximize Your Impact with Precision

Use Cases

Contact Center Analytics & Agent Assis

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.

Voice Assistants & LLM Voicebots

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.

Meeting Intelligence & Sales Calls

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.

Trust, Safety & Moderation for Audio

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.

ASR Training, Benchmarking & Tuning

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.

Healthcare Voice & Clinical Documentation

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.

Automotive & In‑Vehicle Voice

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.

Media, Podcasts & Searchable Archives

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.

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Ready to Partner at Scale?

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.

Contact Our Enterprise Team +1 (831) 222-8398
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+1 (831) 222-8398 Book a Meeting
GoTranscript Inc.
16192 Coastal Highway, Lewes
Delaware 19958
United States
166 College Rd
Harrow HA1 1BH
United Kingdom
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