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Beyond Vision: CVAT Goes Multimodal and Introduces Audio Annotation. Learn more

CVAT

Audio and Speech Labeling Services by Industry Practitioners

Hand off high-volume audio transcription and speech labeling to trained teams. We run the workflow, quality control, and delivery so you get datasets ready for voice AI.

  • 300+ annotators in 12 time zones
  • 10+ years building data annotation software
  • In-house platform, tailored to your workflow
  • Quality-first labeling culture
Waveform split into two speakers, with a transcription and emotion attribute on Speaker 2

Trusted by leading AI teams

Quality annotations for every audio task

We support a wide range of speech and audio labeling tasks across single-speaker, multi-speaker, and non-speech recordings, delivering reliable annotations tailored to your AI model’s needs.

Audio-to-Text Transcription

We transcribe speech recordings into structured text labels.

  • Multi-language transcription
  • Multi-speaker transcription with speaker-separated tracks
  • Transcriptions for separate letters, words or whole phrases
Waveform with each speaker's transcript

Audio Segmentation

We split recordings into timestamped regions of interest so labels map to exact time intervals.

  • Voice activity detection (VAD) style segmentation (speech vs non-speech)
  • Speaker turn segmentation for diarization
  • Sound event segmentation (SED) for non-speech audio events
Waveform split into speech and music segments

Audio Classification and Attributes

We assign categorical labels to speaker tracks or segments based on your labeling schema.

  • Single-label or multi-label tagging
  • Speaker or segment attributes such as age, gender, accent, emotion
  • Custom categorical labels defined by your taxonomy
Speaker 2 segment tagged with gender and emotion

Industries and applications

From speech recognition datasets and call analytics to voice-enabled devices and accessibility workflows, we help teams turn raw audio into high-quality labeled data for real-world AI solutions.

Our process

  1. Step 1

    Free Pilot Project

    Submit a small sample of your audio data for a free proof of concept. We label it using an agreed scope and guidelines, so you can review quality, turnaround time, and deliverables before committing.

  2. Step 2

    Proposal and Delivery Plan

    We prepare a detailed proposal based on the confirmed scope. It includes pricing, delivery schedule, batch structure, and the exact output formats you will receive.

  3. Step 3

    Production Labeling

    Our annotation team labels your full dataset at scale, following the approved guidelines. You get regular updates and staged deliveries based on the agreed cadence.

  4. Step 4

    Quality Assurance

    We run manual and automated quality checks to verify consistency and accuracy against the agreed criteria. You receive clear QA reporting with each delivery stage.

  5. Step 5

    Dataset Delivery

    We deliver the complete labeled dataset in the agreed format, along with a QA summary and final project notes for handoff to your ML team.

Secure & compliant data labeling

We take data protection seriously, from legal safeguards to technical controls.

Flexible pricing for datasets at any stage

From one-time to long-term annotation projects with evolving datasets, we adapt to your workflow, not the other way around.

Pricing Models

  • Per minute
  • Custom
PlanComplete DatasetIncomplete Dataset
Payment termsPay after labeling is completePay upfront, use over time
Minimum budget$5,000$5,000

Get in Touch with Our Experts

  • Analyze your current project pipeline
  • Identify data labeling needs and automation opportunities
  • Calculate potential savings on outsourcing labeling work
Annotator reviewing labeled aerial imagery at a monitor
CVAT

Frequently Asked Questions

What types of audio data and formats can you process?

We work with a broad range of speech and audio data, including single-speaker and multi-speaker recordings, long-form calls and meetings, voice assistant and IoT audio, in-cabin automotive recordings, clinical dictation, captioning workflows, and others.

Our workflows cover transcription, timestamped segmentation, speaker-separated tracks, and classification or attribute tagging.

On the format side, we are set up for common audio inputs such as MP3 and WAV, with cloud-based ingestion and audio processing workflows designed for scalable annotation.

What quality control measures do you have in place?

We combine upfront scope alignment, approved annotation guidelines, pilot calibration, staged production reviews, and both manual and automated QA.

Depending on the task, our quality controls can include ground-truth validation, IoU checks for timestamped segment matching, and WER/CER-based evaluation for transcription quality.

We also provide clear QA reporting with each delivery stage so quality is visible and measurable throughout the project.

Can you handle multilingual and dialect-specific audio?

Yes. We support multilingual transcription and can adapt workflows for dialect- and accent-specific audio.

For each project, we define annotation schemas tailored to your data and requirements, including different languages, pronunciation patterns, accents, and other speech variations.

This can include multiple transcription attributes within the same segment when needed, allowing us to handle dialect-specific use cases more accurately instead of forcing everything into a single generic transcription workflow.

How do you ensure the quality and accuracy of audio annotations?

We start with a pilot project to align on the scope, schema, and acceptance criteria before scaling production. From there, our trained in-house annotation team follows project-specific guidelines in a workflow tailored to your use case, while reviewers and automated checks validate segments, transcripts, and attributes against agreed metrics.

Any discrepancies are caught early through staged deliveries and QA summaries, which helps keep annotation quality consistent from the first batch through final handoff.

What is the minimum amount of data you can label?

We don’t have a strict minimum in terms of data volume. Instead, we approach each project based on its complexity, annotation type, and quality requirements.

For example, labeling 100 images with one object per frame using bounding boxes might take just a few hours. But 100 images with 10+ objects per frame, labeled with polygons or instance masks, would be significantly more time-consuming and costly. Because of this variability, we scope projects individually and provide a tailored quote after reviewing your dataset and requirements.

That said, our minimum project budget starts at $5,000. This helps ensure we can allocate the right experts, maintain quality control, and deliver results that meet our standards. If you're unsure whether your project fits, feel free to reach out — we're happy to review your data and advise.

Why choose us for audio annotation services?

Choose CVAT when you need both annotation capacity and technical depth. We combine 300+ annotators across 12 time zones, 10+ years of experience building annotation software, an in-house platform tailored to your workflow, and a quality-first labeling culture backed by trained in-house specialists.

You also get a free pilot project to validate quality early, along with secure handling through NDAs, GDPR and CCPA principles, customer cloud storage integrations, and isolated role-based workspaces.

How fast can you deliver annotated data?

Our typical turnaround time for contracted projects is approximately 1 month, though we always strive to deliver results faster when possible.

Can you handle large-scale annotation projects?

Absolutely. We maintain a team of 300+ qualified annotators that we can scale up or down based on your volume requirements. We can also adjust our resources to match your data collection and training workflow and provide continuous annotation support through our subscription service model.

Who will be labeling my data?

Your data will be handled by our in-house team of annotation specialists. Each team member has undergone comprehensive training and has experience with dozens of annotation projects, ensuring consistent, high-quality results.

How do I start a data annotation project with you?

Getting started is simple. Fill out our contact form to discuss your project requirements and timeline.

Can I order a pilot project?

Yes, we encourage pilot projects. During the project evaluation stage, we offer a free proof of concept that allows us to assess your data and requirements, define the budget, demonstrate our annotation quality, and introduce you to the CVAT platform where we perform the labeling work.

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