Audio annotation

Collect, classify, transcribe or annotate audio data on our industry-leading data labeling platform.

Use cases

  • Voice assistants
  • Text-to-speech
  • Speech recognition
  • Natural utterance collection
  • Speech emotion recognition

Label audio with flexible tools

Use our data labeling tools and templates to create high quality training data for audio based ML models. Generate or annotate audio files for any type of project.

How audio annotation works in Toloka

Hand your data labeling tasks over to our global crowd and get scalable human 
insights for your audio data in over 40 languages.

  • Audio labeling
  • 1

    Pick a project preset for audio data that matches your use case. Or start from scratch and design your own template.

  • 1

    Choose the audience, quality control methods, and other options.

  • 1

    Upload the first batch of raw data for labeling. Launch your pool of tasks and monitor progress as tasks are completed.

  • 1

    Download the file with results and get ground truth data.

  • 1

    Tweak settings to improve results for the next batch of audio data.


Why choose Toloka for video labeling

Our platform is purpose-built to meet the most challenging data labeling demands.

    • Fast scalability
    • Short turnaround time
    • Wide range of quality
      control tools
    • Real-time data labeling
    • API and Python SDK
      for easy integrations
    • Clear pricing
  • "Toloka is the first place we go to prepare data for AI. We get a full set of quality control tools and it's 10 times cheaper than our previous solution."
    "We choose Toloka because of high throughput for large data volumes. We collected the world's largest database of 200,000 unique photos and videos."
    "What we gain is a dependable approach to data labeling that we utilize in machine learning models, offline metrics, and content creation and monitoring."

Automated solutions for speech recognition

Skip model development — start off with our pre-trained autoML model for speech recognition and automatically tune it as needed using your data streams. Capture the text from audio content in 13 languages (English, German, French, Italian, Spanish, Portugese, Finnish, Swedish, Dutch, Polish, Russian, Kazakh and Turkish), with automatic language detection. Our model recognizes speech on any topic, including short and long utterances, names, addresses, dates, and numbers.

Learn more

Get data labeling 
on your terms

Ready to learn more?

Chat with one of our experts to match Toloka technologies 
to your business needs.