Sound labeling
Timestamps and classes for sound events such as alarms, machinery, speech and background noise.
Audio annotation that helps AI truly listen
Label speech, sounds and audio signals with precision, so models understand language, intent and acoustic patterns.
- Transcription · diarization · sound events
- Multi-language transcription
- 98%+ accuracy guarantee
call_recording_0154.wavannotation
00:0000:0200:0400:0600:0800:1000:12
Agent
Customer
Events
0.2s
Agent:Hi, thanks for calling. How can I help you today?
neutral3.8s
Customer:My order arrived damaged and I'd like a replacement.
negative7.6s
Agent:I'm sorry about that. I'll send a new one right away.
positiveillustrative examplesample data
Audio annotation types
From voice assistants to acoustic monitoring
We provide expert audio annotation, including transcription, speaker labeling, emotion tagging and sound-event detection, helping your AI truly listen and respond.
Speech-to-text transcription
Verbatim or clean transcripts with speaker turns, across multiple languages.
Sentiment & topic analysis
Emotion, sentiment and topic labels on spoken conversations, for example in call-center analytics.
Audio classification
Clip-level labels for language, speaker attributes, acoustic environment and audio quality.
Audio data collection
Scripted and natural speech recorded to your specifications.
Transcript review
Automatic transcripts, corrected by people
We start from ASR output where it helps, then reviewers fix every misheard word, number and name so your speech model learns from the truth.
- Verbatim or clean-read styles
- Speaker turns and overlaps marked
- Numbers, names and jargon normalized to your style guide
3 errors
00:00 AgentThanks for calling Northwind, how can I hell you?
00:03 CustomerI'd like to check the status of order for two nine please.
Use cases
Where teams put this data to work
Speech recognition (ASR)
Accurate, time-aligned transcripts to train and evaluate speech-to-text models.
Contact-center analytics
Speaker, sentiment and topic labels on customer calls.
Voice assistants
Wake-word, command and intent labels across accents and environments.
Sound-event detection
Alarms, machinery and environmental sounds tagged for monitoring systems.
How we work
From pilot to production
We begin with your use case, whether multilingual speech, natural conversation or environmental audio, then tag, verify and structure your data with human annotators and multiple review layers before delivery.
- Step 01
Consult
We review your data, edge cases and success criteria, then write annotation guidelines with you.
- Step 02
Annotate
A trained team labels a pilot batch, following the agreed guidelines to the letter.
- Step 03
Calibrate
You review the pilot. We fold your feedback into the guidelines before scaling up.
- Step 04
Multi-layer QA
Every batch passes peer review, expert QA and automated checks before it leaves us.
- Step 05
Deliver
Labels ship in your format on your schedule, ready to drop into training.
Quality pipeline
Five checkpoints between raw data and your model
98%+
Accuracy guarantee
- 01AnnotatorLabels against your guidelines
- 02Peer reviewA second annotator reviews the work
- 03Expert QASenior reviewer samples and corrects
- 04Automated checksRules catch missing or invalid labels
- 05Client sign-offYou approve before final delivery
Results
Quality you can measure
- Accuracy guarantee
- 98%+Accuracy guarantee
- Returning clients
- 96%Returning clients
- Cost reduction
- 2.5xCost reduction
- Projects completed
- 200+Projects completed
“Intellisane AI played a key role in helping us reach 97% accuracy in automating foundation layout detection. Their deep understanding of spatial data and labeling precision brought measurable improvements to our AI pipeline. The team was communicative, detail-oriented, and delivered everything ahead of schedule.”
S. Ragavan
Sr. ML Engineer, Taranto
Related
Supporting voice technology, smart homes, security, healthcare and more with reliable audio labels.
FAQ
Questions, answered
Something else on your mind? Email sales@intellisane.ai.
Get started
Let's scope your project
Tell us about your data. We'll come back with a plan and a free pilot batch so you can see the quality first.