Speech Transcription
Verbatim or clean-read transcripts, time-aligned at utterance or word level.
Audio Annotation Services
Prepare speech and sound data for ASR, voice assistants, and audio AI. Smart Annotahub delivers time-aligned transcription, speaker diarization, and sound-event labels with native-speaker review.
Types of Audio Annotation We Offer
Speaker Diarization
Who spoke when, with speaker turns, overlaps, and consistent speaker IDs.
Sound Event Detection
Timestamps and labels for non-speech sounds such as alarms, machinery, and ambient noise.
Audio Classification
Clip-level labels for language, accent, emotion, and audio quality.
Intent and Entity Tagging
Spoken-language understanding labels for voice assistants and call analytics.
Pronunciation and Phonetics
Phoneme-level labels and pronunciation scoring for speech research.
How We Deliver Audio Annotation
From your first sample to production volume, every project follows the same six-step path, with no commitment until the pilot proves the quality.
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Step 01
NDA and Discovery
We sign an NDA first, then clarify your goals, taxonomy, edge cases, and target accuracy for the audio files.
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Step 02
Free Pilot
We annotate a sample of your audio files at no cost, so you can judge quality, speed, and edge-case handling first-hand.
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Step 03
Proposal and Agreement
Based on your pilot feedback, we finalize scope, timeline, pricing, and the Service Level Agreement.
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Step 04
Team Setup and Training
We assemble a dedicated team, train it on your guidelines, and agree on communication channels and progress tracking.
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Step 05
Production Labeling
Our team runs audio annotation to the agreed plan, with throughput and accuracy KPIs tracked for every annotator.
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Step 06
QA and Delivery
Your annotated audio pass multi-stage quality review before delivery. Your feedback feeds straight back into the guidelines.
Audio Annotation for Your Industry
Accents, noise, and overlapping speech are where audio models fail. Our guidelines cover them explicitly.
Voice Assistants
Wake-word, command, and intent data across accents.
Contact Centers
Call transcription, diarization, and sentiment.
Automotive
In-cabin voice commands in noisy driving conditions.
Media and Podcasts
Captioning, speaker labels, and content tagging.
Industrial Monitoring
Machine sound events for predictive maintenance.
Tools we work in
Your platform or ours. We adapt to existing pipelines, review stages, and export schemas.
Why AI Teams Choose Smart Annotahub
Start with a free audio annotation pilot
Tell us about your data and requirements. We'll return an annotated sample with a precise quote, usually within a few working days.
Thank you.
We’ve received your request and will be in touch soon.
Reviews
From our Clients
“Their flexibility and ability to move fast impress us.”
We chose Smart Annotahub for its strong value, recommendation, and shared company values. Their 10-person team delivered accurate data annotation with a flexible, collaborative approach. They responded quickly, went the extra mile to meet deadlines, and kept the project on track. We’ve been very pleased with the experience and have no improvements to suggest at this time.
Project Manager
“They’re always willing to adapt quickly to our needs and help keep the project on track.”
The team is highly responsive and flexible, quickly adapting to our needs to keep the project on track. Clear, detailed annotation guidelines help them deliver accurate results faster.
Director
“Communication with the team is smooth, clear, and effortless.”
We chose Smart Annotahub for its expertise, openness to new ideas, and strong interest in autonomous vehicles. Their team provides consistent cuboid and polygon annotation for our growing image dataset, with responsive communication, attentive project management, and reliable quality assurance. We’re very pleased with the collaboration and look forward to continuing our work together.
Director of Engineering
Explore Other Annotation Services
Audio Annotation FAQs
Do you use native speakers?
Yes. Transcription and review are done by native or fluent speakers of the target language and dialect.
Can you handle noisy or overlapping audio?
Yes. Guidelines define how to mark overlaps, inaudible segments, and background noise so labels stay consistent.
What timestamp precision do you deliver?
Utterance-level by default, with word-level alignment available when your model needs it.
How is audio data kept secure?
Files are processed in access-controlled environments under NDA, and can be deleted after delivery on request.